Class/Object

com.microsoft.ml.spark.lightgbm

LightGBMRegressor

Related Docs: object LightGBMRegressor | package lightgbm

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class LightGBMRegressor extends BaseRegressor[Vector, LightGBMRegressor, LightGBMRegressionModel] with LightGBMBase[LightGBMRegressionModel]

Trains a LightGBM Regression model, a fast, distributed, high performance gradient boosting framework based on decision tree algorithms. For more information please see here: https://github.com/Microsoft/LightGBM. For parameter information see here: https://github.com/Microsoft/LightGBM/blob/master/docs/Parameters.rst Note: The application parameter supports the following values:

Annotations
@InternalWrapper()
Linear Supertypes
LightGBMBase[LightGBMRegressionModel], LightGBMParams, LightGBMExecutionParams, HasInitScoreCol, HasValidationIndicatorCol, HasWeightCol, DefaultParamsWritable, MLWritable, Wrappable, BaseRegressor[Vector, LightGBMRegressor, LightGBMRegressionModel], Regressor[Vector, LightGBMRegressor, LightGBMRegressionModel], Predictor[Vector, LightGBMRegressor, LightGBMRegressionModel], PredictorParams, HasPredictionCol, HasFeaturesCol, HasLabelCol, Estimator[LightGBMRegressionModel], PipelineStage, Logging, Params, Serializable, Serializable, Identifiable, AnyRef, Any
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Inherited
  1. LightGBMRegressor
  2. LightGBMBase
  3. LightGBMParams
  4. LightGBMExecutionParams
  5. HasInitScoreCol
  6. HasValidationIndicatorCol
  7. HasWeightCol
  8. DefaultParamsWritable
  9. MLWritable
  10. Wrappable
  11. BaseRegressor
  12. Regressor
  13. Predictor
  14. PredictorParams
  15. HasPredictionCol
  16. HasFeaturesCol
  17. HasLabelCol
  18. Estimator
  19. PipelineStage
  20. Logging
  21. Params
  22. Serializable
  23. Serializable
  24. Identifiable
  25. AnyRef
  26. Any
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Visibility
  1. Public
  2. All

Instance Constructors

  1. new LightGBMRegressor()

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  2. new LightGBMRegressor(uid: String)

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    uid

    The unique ID.

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. val alpha: DoubleParam

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  6. final def asInstanceOf[T0]: T0

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    Definition Classes
    Any

  7. val baggingFraction: DoubleParam

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    Definition Classes
    LightGBMParams

  8. val baggingFreq: IntParam

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    Definition Classes
    LightGBMParams

  9. val baggingSeed: IntParam

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    Definition Classes
    LightGBMParams

  10. val boostFromAverage: BooleanParam

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    Definition Classes
    LightGBMParams

  11. val boostingType: Param[String]

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    Definition Classes
    LightGBMParams

  12. val categoricalSlotIndexes: IntArrayParam

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    Definition Classes
    LightGBMParams

  13. val categoricalSlotNames: StringArrayParam

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    Definition Classes
    LightGBMParams

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

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    Definition Classes
    Params

  15. def clone(): AnyRef

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

  16. def copy(extra: ParamMap): LightGBMRegressor

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    Definition Classes
    LightGBMRegressor → Predictor → Estimator → PipelineStage → Params

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

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    Attributes
    protected
    Definition Classes
    Params

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

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    Attributes
    protected
    Definition Classes
    Params

  19. val defaultListenPort: IntParam

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    Definition Classes
    LightGBMExecutionParams

  20. val earlyStoppingRound: IntParam

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    Definition Classes
    LightGBMParams

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

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    Definition Classes
    AnyRef

  22. def equals(arg0: Any): Boolean

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    Definition Classes
    AnyRef → Any

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

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    Definition Classes
    Params

  24. def explainParams(): String

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    Definition Classes
    Params

  25. def extractLabeledPoints(dataset: Dataset[_]): RDD[LabeledPoint]

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    Attributes
    protected
    Definition Classes
    Predictor

  26. final def extractParamMap(): ParamMap

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    Definition Classes
    Params

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

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    Definition Classes
    Params

  28. val featureFraction: DoubleParam

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    Definition Classes
    LightGBMParams

  29. final val featuresCol: Param[String]

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    Definition Classes
    HasFeaturesCol

  30. def finalize(): Unit

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

  31. def fit(dataset: Dataset[_]): LightGBMRegressionModel

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    Definition Classes
    Predictor → Estimator

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

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    Definition Classes
    Estimator
    Annotations
    @Since( "2.0.0" )

  33. def fit(dataset: Dataset[_], paramMap: ParamMap): LightGBMRegressionModel

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    Definition Classes
    Estimator
    Annotations
    @Since( "2.0.0" )

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

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

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

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    Definition Classes
    Params

  36. def getAlpha: Double

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  37. def getBaggingFraction: Double

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    Definition Classes
    LightGBMParams

  38. def getBaggingFreq: Int

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    Definition Classes
    LightGBMParams

  39. def getBaggingSeed: Int

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    Definition Classes
    LightGBMParams

  40. def getBoostFromAverage: Boolean

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    Definition Classes
    LightGBMParams

  41. def getBoostingType: String

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    Definition Classes
    LightGBMParams

  42. def getCategoricalSlotIndexes: Array[Int]

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    Definition Classes
    LightGBMParams

  43. def getCategoricalSlotNames: Array[String]

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    Definition Classes
    LightGBMParams

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

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    Definition Classes
    AnyRef → Any

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

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    Definition Classes
    Params

  46. def getDefaultListenPort: Int

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    Definition Classes
    LightGBMExecutionParams

  47. def getEarlyStoppingRound: Int

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    Definition Classes
    LightGBMParams

  48. def getFeatureFraction: Double

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    Definition Classes
    LightGBMParams

  49. final def getFeaturesCol: String

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    Definition Classes
    HasFeaturesCol

  50. def getInitScoreCol: String

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    Definition Classes
    HasInitScoreCol

  51. def getIsProvideTrainingMetric: Boolean

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    Definition Classes
    LightGBMParams

  52. final def getLabelCol: String

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    Definition Classes
    HasLabelCol

  53. def getLambdaL1: Double

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    Definition Classes
    LightGBMParams

  54. def getLambdaL2: Double

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    Definition Classes
    LightGBMParams

  55. def getLearningRate: Double

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    Definition Classes
    LightGBMParams

  56. def getMaxBin: Int

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    Definition Classes
    LightGBMParams

  57. def getMaxDepth: Int

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    Definition Classes
    LightGBMParams

  58. def getMinSumHessianInLeaf: Double

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    Definition Classes
    LightGBMParams

  59. def getModel(trainParams: TrainParams, lightGBMBooster: LightGBMBooster): LightGBMRegressionModel

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    Gets the trained model given the train parameters and booster.

    Gets the trained model given the train parameters and booster.

    returns

    trained model.

    Definition Classes
    LightGBMRegressor → LightGBMBase

  60. def getModelString: String

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    Definition Classes
    LightGBMParams

  61. def getNumBatches: Int

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    Definition Classes
    LightGBMParams

  62. def getNumIterations: Int

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    Definition Classes
    LightGBMParams

  63. def getNumLeaves: Int

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    Definition Classes
    LightGBMParams

  64. def getObjective: String

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    Definition Classes
    LightGBMParams

  65. def getOptGroupCol: Option[String]

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    Optional group column for Ranking, set to None by default.

    Optional group column for Ranking, set to None by default.

    returns

    None

    Attributes
    protected
    Definition Classes
    LightGBMBase

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

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    Definition Classes
    Params

  67. def getParallelism: String

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    Definition Classes
    LightGBMExecutionParams

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

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    Definition Classes
    Params

  69. final def getPredictionCol: String

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    Definition Classes
    HasPredictionCol

  70. def getTimeout: Double

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    Definition Classes
    LightGBMExecutionParams

  71. def getTrainParams(numWorkers: Int, categoricalIndexes: Array[Int], dataset: Dataset[_]): TrainParams

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    Gets the training parameters.

    Gets the training parameters.

    returns

    train parameters.

    Definition Classes
    LightGBMRegressor → LightGBMBase

  72. def getTweedieVariancePower: Double

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  73. def getUseBarrierExecutionMode: Boolean

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    Definition Classes
    LightGBMExecutionParams

  74. def getValidationIndicatorCol: String

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    Definition Classes
    HasValidationIndicatorCol

  75. def getVerbosity: Int

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    Definition Classes
    LightGBMParams

  76. def getWeightCol: String

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    Definition Classes
    HasWeightCol

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

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    Definition Classes
    Params

  78. def hasParam(paramName: String): Boolean

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    Definition Classes
    Params

  79. def hashCode(): Int

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    Definition Classes
    AnyRef → Any

  80. val initScoreCol: Param[String]

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    The name of the initial score column

    The name of the initial score column

    Definition Classes
    HasInitScoreCol

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

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    Attributes
    protected
    Definition Classes
    Logging

  82. def initializeLogIfNecessary(isInterpreter: Boolean): Unit

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    Attributes
    protected
    Definition Classes
    Logging

  83. def innerTrain(dataset: Dataset[_]): LightGBMRegressionModel

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    Attributes
    protected
    Definition Classes
    LightGBMBase

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

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    Definition Classes
    Params

  85. final def isInstanceOf[T0]: Boolean

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    Definition Classes
    Any

  86. val isProvideTrainingMetric: BooleanParam

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    Definition Classes
    LightGBMParams

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

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    Definition Classes
    Params

  88. def isTraceEnabled(): Boolean

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    Attributes
    protected
    Definition Classes
    Logging

  89. final val labelCol: Param[String]

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    Definition Classes
    HasLabelCol

  90. val lambdaL1: DoubleParam

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    Definition Classes
    LightGBMParams

  91. val lambdaL2: DoubleParam

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    Definition Classes
    LightGBMParams

  92. val learningRate: DoubleParam

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    Definition Classes
    LightGBMParams

  93. def log: Logger

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

  100. def logName: String

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

  105. val maxBin: IntParam

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    Definition Classes
    LightGBMParams

  106. val maxDepth: IntParam

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    Definition Classes
    LightGBMParams

  107. val minSumHessianInLeaf: DoubleParam

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    Definition Classes
    LightGBMParams

  108. val modelString: Param[String]

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    Definition Classes
    LightGBMParams

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

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    Definition Classes
    AnyRef

  110. final def notify(): Unit

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    Definition Classes
    AnyRef

  111. final def notifyAll(): Unit

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    Definition Classes
    AnyRef

  112. val numBatches: IntParam

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    Definition Classes
    LightGBMParams

  113. val numIterations: IntParam

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    Definition Classes
    LightGBMParams

  114. val numLeaves: IntParam

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    Definition Classes
    LightGBMParams

  115. val objective: Param[String]

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    Definition Classes
    LightGBMParams

  116. val parallelism: Param[String]

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    Definition Classes
    LightGBMExecutionParams

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

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    Definition Classes
    Params

  118. final val predictionCol: Param[String]

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    Definition Classes
    HasPredictionCol

  119. def preprocessData(dataset: DataFrame): DataFrame

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    Allow algorithm specific preprocessing of dataset.

    Allow algorithm specific preprocessing of dataset.

    dataset

    The dataset to preprocess prior to training.

    returns

    The preprocessed data.

    Attributes
    protected
    Definition Classes
    LightGBMBase

  120. def save(path: String): Unit

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

  121. final def set(paramPair: ParamPair[_]): LightGBMRegressor.this.type

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    Attributes
    protected
    Definition Classes
    Params

  122. final def set(param: String, value: Any): LightGBMRegressor.this.type

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    Attributes
    protected
    Definition Classes
    Params

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

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    Definition Classes
    Params

  124. def setAlpha(value: Double): LightGBMRegressor.this.type

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  125. def setBaggingFraction(value: Double): LightGBMRegressor.this.type

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    Definition Classes
    LightGBMParams

  126. def setBaggingFreq(value: Int): LightGBMRegressor.this.type

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    Definition Classes
    LightGBMParams

  127. def setBaggingSeed(value: Int): LightGBMRegressor.this.type

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    Definition Classes
    LightGBMParams

  128. def setBoostFromAverage(value: Boolean): LightGBMRegressor.this.type

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    Definition Classes
    LightGBMParams

  129. def setBoostingType(value: String): LightGBMRegressor.this.type

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    Definition Classes
    LightGBMParams

  130. def setCategoricalSlotIndexes(value: Array[Int]): LightGBMRegressor.this.type

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    Definition Classes
    LightGBMParams

  131. def setCategoricalSlotNames(value: Array[String]): LightGBMRegressor.this.type

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    Definition Classes
    LightGBMParams

  132. final def setDefault(paramPairs: ParamPair[_]*): LightGBMRegressor.this.type

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    Attributes
    protected
    Definition Classes
    Params

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

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    Attributes
    protected
    Definition Classes
    Params

  134. def setDefaultListenPort(value: Int): LightGBMRegressor.this.type

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    Definition Classes
    LightGBMExecutionParams

  135. def setEarlyStoppingRound(value: Int): LightGBMRegressor.this.type

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    Definition Classes
    LightGBMParams

  136. def setFeatureFraction(value: Double): LightGBMRegressor.this.type

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    Definition Classes
    LightGBMParams

  137. def setFeaturesCol(value: String): LightGBMRegressor

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    Definition Classes
    Predictor

  138. def setInitScoreCol(value: String): LightGBMRegressor.this.type

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    Definition Classes
    HasInitScoreCol

  139. def setLabelCol(value: String): LightGBMRegressor

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    Definition Classes
    Predictor

  140. def setLambdaL1(value: Double): LightGBMRegressor.this.type

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    Definition Classes
    LightGBMParams

  141. def setLambdaL2(value: Double): LightGBMRegressor.this.type

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    Definition Classes
    LightGBMParams

  142. def setLearningRate(value: Double): LightGBMRegressor.this.type

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    Definition Classes
    LightGBMParams

  143. def setMaxBin(value: Int): LightGBMRegressor.this.type

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    Definition Classes
    LightGBMParams

  144. def setMaxDepth(value: Int): LightGBMRegressor.this.type

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    Definition Classes
    LightGBMParams

  145. def setMinSumHessianInLeaf(value: Double): LightGBMRegressor.this.type

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    Definition Classes
    LightGBMParams

  146. def setModelString(value: String): LightGBMRegressor.this.type

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    Definition Classes
    LightGBMParams

  147. def setNumBatches(value: Int): LightGBMRegressor.this.type

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    Definition Classes
    LightGBMParams

  148. def setNumIterations(value: Int): LightGBMRegressor.this.type

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    Definition Classes
    LightGBMParams

  149. def setNumLeaves(value: Int): LightGBMRegressor.this.type

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    Definition Classes
    LightGBMParams

  150. def setObjective(value: String): LightGBMRegressor.this.type

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    Definition Classes
    LightGBMParams

  151. def setParallelism(value: String): LightGBMRegressor.this.type

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    Definition Classes
    LightGBMExecutionParams

  152. def setPredictionCol(value: String): LightGBMRegressor

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    Definition Classes
    Predictor

  153. def setTimeout(value: Double): LightGBMRegressor.this.type

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    Definition Classes
    LightGBMExecutionParams

  154. def setTweedieVariancePower(value: Double): LightGBMRegressor.this.type

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  155. def setUseBarrierExecutionMode(value: Boolean): LightGBMRegressor.this.type

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    Definition Classes
    LightGBMExecutionParams

  156. def setValidationIndicatorCol(value: String): LightGBMRegressor.this.type

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    Definition Classes
    HasValidationIndicatorCol

  157. def setVerbosity(value: Int): LightGBMRegressor.this.type

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    Definition Classes
    LightGBMParams

  158. def setWeightCol(value: String): LightGBMRegressor.this.type

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    Definition Classes
    HasWeightCol

  159. def setisProvideTrainingMetric(value: Boolean): LightGBMRegressor.this.type

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    Definition Classes
    LightGBMParams

  160. def stringFromTrainedModel(model: LightGBMRegressionModel): String

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    Definition Classes
    LightGBMRegressor → LightGBMBase

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

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    Definition Classes
    AnyRef

  162. val timeout: DoubleParam

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    Definition Classes
    LightGBMExecutionParams

  163. def toString(): String

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    Definition Classes
    Identifiable → AnyRef → Any

  164. def train(dataset: Dataset[_]): LightGBMRegressionModel

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    Trains the LightGBM model.

    Trains the LightGBM model.

    dataset

    The input dataset to train.

    returns

    The trained model.

    Attributes
    protected
    Definition Classes
    LightGBMBase

  165. def transformSchema(schema: StructType): StructType

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    Definition Classes
    Predictor → PipelineStage

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

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    Attributes
    protected
    Definition Classes
    PipelineStage
    Annotations
    @DeveloperApi()

  167. val tweedieVariancePower: DoubleParam

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  168. val uid: String

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    The unique ID.

    The unique ID.

    Definition Classes
    LightGBMRegressor → Identifiable

  169. val useBarrierExecutionMode: BooleanParam

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    Definition Classes
    LightGBMExecutionParams

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

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    Attributes
    protected
    Definition Classes
    PredictorParams

  171. val validationIndicatorCol: Param[String]

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    The name of the validation indicator column

    The name of the validation indicator column

    Definition Classes
    HasValidationIndicatorCol

  172. val verbosity: IntParam

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    Definition Classes
    LightGBMParams

  173. final def wait(): Unit

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

  176. val weightCol: Param[String]

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    The name of the weight column

    The name of the weight column

    Definition Classes
    HasWeightCol

  177. def write: MLWriter

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    Definition Classes
    DefaultParamsWritable → MLWritable

Inherited from LightGBMBase[LightGBMRegressionModel]

Inherited from LightGBMParams

Inherited from LightGBMExecutionParams

Inherited from HasInitScoreCol

Inherited from HasValidationIndicatorCol

Inherited from HasWeightCol

Inherited from DefaultParamsWritable

Inherited from MLWritable

Inherited from Wrappable

Inherited from BaseRegressor[Vector, LightGBMRegressor, LightGBMRegressionModel]

Inherited from Regressor[Vector, LightGBMRegressor, LightGBMRegressionModel]

Inherited from Predictor[Vector, LightGBMRegressor, LightGBMRegressionModel]

Inherited from PredictorParams

Inherited from HasPredictionCol

Inherited from HasFeaturesCol

Inherited from HasLabelCol

Inherited from Estimator[LightGBMRegressionModel]

Inherited from PipelineStage

Inherited from Logging

Inherited from Params

Inherited from Serializable

Inherited from Serializable

Inherited from Identifiable

Inherited from AnyRef

Inherited from Any

getParam

param

setParam

Ungrouped