Class/Object

org.apache.spark.ml.classification.odkl

XGBoostClassifier

Related Docs: object XGBoostClassifier | package odkl

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class XGBoostClassifier extends Estimator[XGClassificationModelWrapper] with SummarizableEstimator[XGClassificationModelWrapper] with OkXGBoostClassifierParams with ProbabilisticClassifierParams 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, ProbabilisticClassifierParams, HasThresholds, HasProbabilityCol, ClassifierParams, HasRawPredictionCol, PredictorParams, HasLabelCol, OkXGBoostClassifierParams, OkXGBoostParams, HasPredictionCol, HasFeaturesCol, XGBoostClassifierParams, HasContribPredictionCol, HasLeafPredictionCol, ParamMapFuncs, HasNumClass, HasBaseMarginCol, HasWeightCol, BoosterParams, LearningTaskParams, GeneralParams, SummarizableEstimator[XGClassificationModelWrapper], Estimator[XGClassificationModelWrapper], PipelineStage, Logging, Params, Serializable, Serializable, Identifiable, AnyRef, Any
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Inherited
  1. XGBoostClassifier
  2. DefaultParamsWritable
  3. MLWritable
  4. HasFeaturesSignificance
  5. HasLossHistory
  6. ProbabilisticClassifierParams
  7. HasThresholds
  8. HasProbabilityCol
  9. ClassifierParams
  10. HasRawPredictionCol
  11. PredictorParams
  12. HasLabelCol
  13. OkXGBoostClassifierParams
  14. OkXGBoostParams
  15. HasPredictionCol
  16. HasFeaturesCol
  17. XGBoostClassifierParams
  18. HasContribPredictionCol
  19. HasLeafPredictionCol
  20. ParamMapFuncs
  21. HasNumClass
  22. HasBaseMarginCol
  23. HasWeightCol
  24. BoosterParams
  25. LearningTaskParams
  26. GeneralParams
  27. SummarizableEstimator
  28. Estimator
  29. PipelineStage
  30. Logging
  31. Params
  32. Serializable
  33. Serializable
  34. Identifiable
  35. AnyRef
  36. Any
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Visibility
  1. Public
  2. All

Instance Constructors

  1. new XGBoostClassifier()

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  2. new XGBoostClassifier(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[_]): XGBoostClassifier.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[XGClassificationModelWrapper]

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    Definition Classes
    XGBoostClassifier → 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[_]): XGClassificationModelWrapper

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    Definition Classes
    XGBoostClassifier → Estimator

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

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    Definition Classes
    Estimator
    Annotations
    @Since( "2.0.0" )

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

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    Definition Classes
    Estimator
    Annotations
    @Since( "2.0.0" )

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

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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 getGrowPolicy: String

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    Definition Classes
    BoosterParams

  63. final def getLabelCol: String

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    Definition Classes
    HasLabelCol

  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 getNumClass: Int

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    Definition Classes
    HasNumClass

  76. final def getNumEarlyStoppingRounds: Int

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    Definition Classes
    LearningTaskParams

  77. final def getNumRound: Int

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    Definition Classes
    GeneralParams

  78. final def getNumWorkers: Int

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    Definition Classes
    GeneralParams

  79. final def getObjective: String

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    Definition Classes
    LearningTaskParams

  80. final def getObjectiveType: String

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    Definition Classes
    LearningTaskParams

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

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    Definition Classes
    Params

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

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    Definition Classes
    Params

  83. final def getPredictionCol: String

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    Definition Classes
    HasPredictionCol

  84. final def getProbabilityCol: String

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    Definition Classes
    HasProbabilityCol

  85. final def getRateDrop: Double

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    Definition Classes
    BoosterParams

  86. final def getRawPredictionCol: String

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    Definition Classes
    HasRawPredictionCol

  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. def getThresholds: Array[Double]

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    Definition Classes
    HasThresholds

  95. final def getTimeoutRequestWorkers: Long

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    Definition Classes
    GeneralParams

  96. final def getTrainTestRatio: Double

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    Definition Classes
    LearningTaskParams

  97. final def getTreeLimit: Int

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    Definition Classes
    BoosterParams

  98. final def getTreeMethod: String

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    Definition Classes
    BoosterParams

  99. final def getUseExternalMemory: Boolean

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    Definition Classes
    GeneralParams

  100. final def getWeightCol: String

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    Definition Classes
    HasWeightCol

  101. final val growPolicy: Param[String]

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    Definition Classes
    BoosterParams

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

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    Definition Classes
    Params

  103. def hasParam(paramName: String): Boolean

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    Definition Classes
    Params

  104. def hashCode(): Int

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    Definition Classes
    AnyRef → Any

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

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    Attributes
    protected
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    Logging

  106. def initializeLogIfNecessary(isInterpreter: Boolean): Unit

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    Attributes
    protected
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    Logging

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

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    Definition Classes
    Params

  108. final def isInstanceOf[T0]: Boolean

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    Definition Classes
    Any

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

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    Definition Classes
    Params

  110. def isTraceEnabled(): Boolean

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    Attributes
    protected
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    Logging

  111. val iteration: String

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    Definition Classes
    HasLossHistory

  112. val label: String

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    Definition Classes
    HasLossHistory

  113. final val labelCol: Param[String]

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    Definition Classes
    HasLabelCol

  114. final val lambda: DoubleParam

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    Definition Classes
    BoosterParams

  115. final val lambdaBias: DoubleParam

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    Definition Classes
    BoosterParams

  116. final val leafPredictionCol: Param[String]

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    Definition Classes
    HasLeafPredictionCol

  117. def log: Logger

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    Attributes
    protected
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    Logging

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

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    Attributes
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    Logging

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

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    Logging

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

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    Logging

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

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    Logging

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

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    Logging

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

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    Logging

  124. def logName: String

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    Logging

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

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    Logging

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

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    protected
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    Logging

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

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    Attributes
    protected
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    Logging

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

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    Attributes
    protected
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    Logging

  129. val loss: String

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    Definition Classes
    HasLossHistory

  130. val lossHistory: Block

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    Definition Classes
    HasLossHistory

  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 maximizeEvaluationMetrics: BooleanParam

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    Definition Classes
    LearningTaskParams

  135. final val minChildWeight: DoubleParam

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    Definition Classes
    BoosterParams

  136. final val missing: FloatParam

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    Definition Classes
    GeneralParams

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

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    Definition Classes
    AnyRef

  138. final val normalizeType: Param[String]

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    Definition Classes
    BoosterParams

  139. final def notify(): Unit

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    Definition Classes
    AnyRef

  140. final def notifyAll(): Unit

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    Definition Classes
    AnyRef

  141. final val nthread: IntParam

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    Definition Classes
    GeneralParams

  142. final val numClass: IntParam

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    Definition Classes
    HasNumClass

  143. final val numEarlyStoppingRounds: IntParam

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    Definition Classes
    LearningTaskParams

  144. final val numRound: IntParam

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    Definition Classes
    GeneralParams

  145. final val numWorkers: IntParam

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    Definition Classes
    GeneralParams

  146. final val objective: Param[String]

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    Definition Classes
    LearningTaskParams

  147. final val objectiveType: Param[String]

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    Definition Classes
    LearningTaskParams

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

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    Definition Classes
    Params

  149. val predictAsDouble: BooleanParam

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    Definition Classes
    OkXGBoostParams

  150. final val predictionCol: Param[String]

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    Definition Classes
    HasPredictionCol

  151. final val probabilityCol: Param[String]

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    Definition Classes
    HasProbabilityCol

  152. final val rateDrop: DoubleParam

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    Definition Classes
    BoosterParams

  153. final val rawPredictionCol: Param[String]

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    Definition Classes
    HasRawPredictionCol

  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[_]): XGBoostClassifier.this.type

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    Params

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

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    Attributes
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    Params

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

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    Definition Classes
    Params

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

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    Definition Classes
    OkXGBoostParams

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

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    Definition Classes
    OkXGBoostParams

  163. def setAlpha(value: Double): XGBoostClassifier.this.type

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  164. def setBaseMarginCol(value: String): XGBoostClassifier.this.type

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  165. def setBaseScore(value: Double): XGBoostClassifier.this.type

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  166. def setCheckpointInterval(value: Int): XGBoostClassifier.this.type

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  167. def setCheckpointPath(value: String): XGBoostClassifier.this.type

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  168. def setColsampleBylevel(value: Double): XGBoostClassifier.this.type

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  169. def setColsampleBytree(value: Double): XGBoostClassifier.this.type

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  170. def setCustomEval(value: EvalTrait): XGBoostClassifier.this.type

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  171. def setCustomEvaluation(value: EvalTrait): XGBoostClassifier.this.type

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  172. def setCustomObj(value: ObjectiveTrait): XGBoostClassifier.this.type

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  173. def setCustomObjective(value: ObjectiveTrait): XGBoostClassifier.this.type

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  174. final def setDefault(paramPairs: ParamPair[_]*): XGBoostClassifier.this.type

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    Attributes
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    Params

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

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    Attributes
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    Params

  176. def setDensifyInput(value: Boolean): XGBoostClassifier.this.type

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    Definition Classes
    OkXGBoostParams

  177. def setEta(value: Double): XGBoostClassifier.this.type

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  178. def setEvalMetric(value: String): XGBoostClassifier.this.type

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  179. def setFeatureCol(value: String): XGBoostClassifier.this.type

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  180. def setGamma(value: Double): XGBoostClassifier.this.type

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  181. def setGrowPolicy(value: String): XGBoostClassifier.this.type

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  182. def setLabelCol(value: String): XGBoostClassifier.this.type

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  183. def setLambda(value: Double): XGBoostClassifier.this.type

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  184. def setLambdaBias(value: Double): XGBoostClassifier.this.type

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  185. def setMaxBeens(value: Int): XGBoostClassifier.this.type

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  186. def setMaxBins(value: Int): XGBoostClassifier.this.type

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  187. def setMaxDeltaStep(value: Double): XGBoostClassifier.this.type

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  188. def setMaxDepth(value: Int): XGBoostClassifier.this.type

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  189. def setMinChildWeight(value: Double): XGBoostClassifier.this.type

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  190. def setMissing(value: Float): XGBoostClassifier.this.type

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  191. def setNormalizeType(value: String): XGBoostClassifier.this.type

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  192. def setNthread(value: Int): XGBoostClassifier.this.type

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  193. def setNumClass(value: Int): XGBoostClassifier.this.type

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  194. def setNumEarlyStoppingRounds(value: Int): XGBoostClassifier.this.type

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  195. def setNumRound(value: Int): XGBoostClassifier.this.type

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  196. def setNumRounds(value: Int): XGBoostClassifier.this.type

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  197. def setNumWorkers(value: Int): XGBoostClassifier.this.type

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  198. def setObjective(value: String): XGBoostClassifier.this.type

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  199. def setObjectiveType(value: String): XGBoostClassifier.this.type

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  200. def setPredictAsDouble(value: Boolean): XGBoostClassifier.this.type

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    Definition Classes
    OkXGBoostParams

  201. def setPredictionCol(value: String): XGBoostClassifier.this.type

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  202. def setRateDrop(value: Double): XGBoostClassifier.this.type

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  203. def setSampleType(value: String): XGBoostClassifier.this.type

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  204. def setScalePosWeight(value: Double): XGBoostClassifier.this.type

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  205. def setSeed(value: Long): XGBoostClassifier.this.type

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  206. def setSilent(value: Boolean): XGBoostClassifier.this.type

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  207. def setSilent(value: Int): XGBoostClassifier.this.type

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  208. def setSketchEps(value: Double): XGBoostClassifier.this.type

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  209. def setSkipDrop(value: Double): XGBoostClassifier.this.type

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  210. def setSubsample(value: Double): XGBoostClassifier.this.type

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  211. def setTimeoutRequestWorkers(value: Long): XGBoostClassifier.this.type

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  212. def setTrackerConf(workerConnectionTimeout: Long, trackerImpl: String): XGBoostClassifier.this.type

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  213. def setTrainTestRatio(value: Double): XGBoostClassifier.this.type

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  214. def setTrainTestRation(value: Double): XGBoostClassifier.this.type

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  215. def setTreeMethod(value: String): XGBoostClassifier.this.type

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  216. def setUseExternalMemory(value: Boolean): XGBoostClassifier.this.type

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  217. def setWeightCol(value: String): XGBoostClassifier.this.type

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  218. val significance: String

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    Definition Classes
    HasFeaturesSignificance

  219. final val silent: IntParam

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    Definition Classes
    GeneralParams

  220. final val sketchEps: DoubleParam

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    Definition Classes
    BoosterParams

  221. final val skipDrop: DoubleParam

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    Definition Classes
    BoosterParams

  222. val stdDev: String

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    Definition Classes
    HasFeaturesSignificance

  223. final val subsample: DoubleParam

    Permalink
    Definition Classes
    BoosterParams

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

    Permalink
    Definition Classes
    AnyRef

  225. val testLoss: String

    Permalink
    Definition Classes
    HasLossHistory

  226. final val thresholds: DoubleArrayParam

    Permalink
    Definition Classes
    HasThresholds

  227. final val timeoutRequestWorkers: LongParam

    Permalink
    Definition Classes
    GeneralParams

  228. def toString(): String

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    Definition Classes
    Identifiable → AnyRef → Any

  229. final val trackerConf: TrackerConfParam

    Permalink
    Definition Classes
    GeneralParams

  230. final val trainTestRatio: DoubleParam

    Permalink
    Definition Classes
    LearningTaskParams

  231. def transformSchema(schema: StructType): StructType

    Permalink
    Definition Classes
    XGBoostClassifier → PipelineStage

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

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    Attributes
    protected
    Definition Classes
    PipelineStage
    Annotations
    @DeveloperApi()

  233. final val treeLimit: IntParam

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    Definition Classes
    BoosterParams

  234. final val treeMethod: Param[String]

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    Definition Classes
    BoosterParams

  235. val uid: String

    Permalink
    Definition Classes
    XGBoostClassifier → Identifiable

  236. final val useExternalMemory: BooleanParam

    Permalink
    Definition Classes
    GeneralParams

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

    Permalink
    Attributes
    protected
    Definition Classes
    ProbabilisticClassifierParams → ClassifierParams → PredictorParams

  238. final def wait(): Unit

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

  241. final val weightCol: Param[String]

    Permalink
    Definition Classes
    HasWeightCol

  242. def write: MLWriter

    Permalink
    Definition Classes
    DefaultParamsWritable → MLWritable

Inherited from DefaultParamsWritable

Inherited from MLWritable

Inherited from HasFeaturesSignificance

Inherited from HasLossHistory

Inherited from ProbabilisticClassifierParams

Inherited from HasThresholds

Inherited from HasProbabilityCol

Inherited from ClassifierParams

Inherited from HasRawPredictionCol

Inherited from PredictorParams

Inherited from HasLabelCol

Inherited from OkXGBoostClassifierParams

Inherited from OkXGBoostParams

Inherited from HasPredictionCol

Inherited from HasFeaturesCol

Inherited from XGBoostClassifierParams

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 SummarizableEstimator[XGClassificationModelWrapper]

Inherited from Estimator[XGClassificationModelWrapper]

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