Class/Object

com.microsoft.ml.spark

LightGBMRegressor

Related Docs: object LightGBMRegressor | package spark

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

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
LightGBMParams, DefaultParamsWritable, MLWritable, Wrappable, BaseRegressor[Vector, LightGBMRegressor, LightGBMRegressionModel], Regressor[Vector, LightGBMRegressor, LightGBMRegressionModel], Predictor[Vector, LightGBMRegressor, LightGBMRegressionModel], PredictorParams, HasPredictionCol, org.apache.spark.ml.param.shared.HasFeaturesCol, org.apache.spark.ml.param.shared.HasLabelCol, Estimator[LightGBMRegressionModel], PipelineStage, org.apache.spark.internal.Logging, Params, Serializable, Serializable, Identifiable, AnyRef, Any
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Inherited
  1. LightGBMRegressor
  2. LightGBMParams
  3. DefaultParamsWritable
  4. MLWritable
  5. Wrappable
  6. BaseRegressor
  7. Regressor
  8. Predictor
  9. PredictorParams
  10. HasPredictionCol
  11. HasFeaturesCol
  12. HasLabelCol
  13. Estimator
  14. PipelineStage
  15. Logging
  16. Params
  17. Serializable
  18. Serializable
  19. Identifiable
  20. AnyRef
  21. 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. final def clear(param: Param[_]): LightGBMRegressor.this.type

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    Definition Classes
    Params

  11. def clone(): AnyRef

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

  12. def copy(extra: ParamMap): LightGBMRegressor

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    Definition Classes
    LightGBMRegressor → Predictor → Estimator → PipelineStage → Params

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

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    Attributes
    protected
    Definition Classes
    Params

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

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    Attributes
    protected
    Definition Classes
    Params

  15. val defaultListenPort: IntParam

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    Definition Classes
    LightGBMParams

  16. val earlyStoppingRound: IntParam

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    Definition Classes
    LightGBMParams

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

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    Definition Classes
    AnyRef

  18. def equals(arg0: Any): Boolean

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    Definition Classes
    AnyRef → Any

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

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    Definition Classes
    Params

  20. def explainParams(): String

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    Definition Classes
    Params

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

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    Attributes
    protected
    Definition Classes
    Predictor

  22. final def extractParamMap(): ParamMap

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    Definition Classes
    Params

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

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    Definition Classes
    Params

  24. val featureFraction: DoubleParam

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    Definition Classes
    LightGBMParams

  25. final val featuresCol: Param[String]

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    Definition Classes
    HasFeaturesCol

  26. def finalize(): Unit

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

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

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    Definition Classes
    Predictor → Estimator

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

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    Definition Classes
    Estimator
    Annotations
    @Since( "2.0.0" )

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

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    Definition Classes
    Estimator
    Annotations
    @Since( "2.0.0" )

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

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

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

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    Definition Classes
    Params

  32. def getAlpha: Double

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  33. def getBaggingFraction: Double

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    Definition Classes
    LightGBMParams

  34. def getBaggingFreq: Int

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    Definition Classes
    LightGBMParams

  35. def getBaggingSeed: Int

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    Definition Classes
    LightGBMParams

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

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    Definition Classes
    AnyRef → Any

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

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    Definition Classes
    Params

  38. def getDefaultListenPort: Int

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    Definition Classes
    LightGBMParams

  39. def getEarlyStoppingRound: Int

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    Definition Classes
    LightGBMParams

  40. def getFeatureFraction: Double

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    Definition Classes
    LightGBMParams

  41. final def getFeaturesCol: String

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    Definition Classes
    HasFeaturesCol

  42. final def getLabelCol: String

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    Definition Classes
    HasLabelCol

  43. def getLearningRate: Double

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    Definition Classes
    LightGBMParams

  44. def getMaxBin: Int

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    Definition Classes
    LightGBMParams

  45. def getMaxDepth: Int

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    Definition Classes
    LightGBMParams

  46. def getMinSumHessianInLeaf: Double

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    Definition Classes
    LightGBMParams

  47. def getModelString: String

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    Definition Classes
    LightGBMParams

  48. def getNumIterations: Int

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    Definition Classes
    LightGBMParams

  49. def getNumLeaves: Int

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    Definition Classes
    LightGBMParams

  50. def getObjective: String

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    Definition Classes
    LightGBMParams

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

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    Definition Classes
    Params

  52. def getParallelism: String

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    Definition Classes
    LightGBMParams

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

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    Definition Classes
    Params

  54. final def getPredictionCol: String

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    Definition Classes
    HasPredictionCol

  55. def getTimeout: Double

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    Definition Classes
    LightGBMParams

  56. def getTweedieVariancePower: Double

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

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    Definition Classes
    Params

  58. def hasParam(paramName: String): Boolean

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    Definition Classes
    Params

  59. def hashCode(): Int

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    Definition Classes
    AnyRef → Any

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

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    Attributes
    protected
    Definition Classes
    Logging

  61. def initializeLogIfNecessary(isInterpreter: Boolean): Unit

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Definition Classes
    Params

  63. final def isInstanceOf[T0]: Boolean

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    Definition Classes
    Any

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

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    Definition Classes
    Params

  65. def isTraceEnabled(): Boolean

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    Attributes
    protected
    Definition Classes
    Logging

  66. final val labelCol: Param[String]

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    Definition Classes
    HasLabelCol

  67. val learningRate: DoubleParam

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    Definition Classes
    LightGBMParams

  68. def log: Logger

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

  75. def logName: String

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

  80. val maxBin: IntParam

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    Definition Classes
    LightGBMParams

  81. val maxDepth: IntParam

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    Definition Classes
    LightGBMParams

  82. val minSumHessianInLeaf: DoubleParam

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    Definition Classes
    LightGBMParams

  83. val modelString: Param[String]

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    Definition Classes
    LightGBMParams

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

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    Definition Classes
    AnyRef

  85. final def notify(): Unit

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    Definition Classes
    AnyRef

  86. final def notifyAll(): Unit

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    Definition Classes
    AnyRef

  87. val numIterations: IntParam

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    Definition Classes
    LightGBMParams

  88. val numLeaves: IntParam

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    Definition Classes
    LightGBMParams

  89. val objective: Param[String]

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    Definition Classes
    LightGBMParams

  90. val parallelism: Param[String]

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    Definition Classes
    LightGBMParams

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

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    Definition Classes
    Params

  92. final val predictionCol: Param[String]

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    Definition Classes
    HasPredictionCol

  93. def save(path: String): Unit

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

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

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    Attributes
    protected
    Definition Classes
    Params

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

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    Attributes
    protected
    Definition Classes
    Params

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

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    Definition Classes
    Params

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

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

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    Definition Classes
    LightGBMParams

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

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    Definition Classes
    LightGBMParams

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

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    Definition Classes
    LightGBMParams

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

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    Attributes
    protected
    Definition Classes
    Params

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

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    Attributes
    protected
    Definition Classes
    Params

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

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    Definition Classes
    LightGBMParams

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

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    Definition Classes
    LightGBMParams

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

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    Definition Classes
    LightGBMParams

  106. def setFeaturesCol(value: String): LightGBMRegressor

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    Definition Classes
    Predictor

  107. def setLabelCol(value: String): LightGBMRegressor

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    Definition Classes
    Predictor

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

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    Definition Classes
    LightGBMParams

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

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    Definition Classes
    LightGBMParams

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

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    Definition Classes
    LightGBMParams

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

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    Definition Classes
    LightGBMParams

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

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    Definition Classes
    LightGBMParams

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

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    Definition Classes
    LightGBMParams

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

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    Definition Classes
    LightGBMParams

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

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    Definition Classes
    LightGBMParams

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

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    Definition Classes
    LightGBMParams

  117. def setPredictionCol(value: String): LightGBMRegressor

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    Definition Classes
    Predictor

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

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    Definition Classes
    LightGBMParams

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

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

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    Definition Classes
    AnyRef

  121. val timeout: DoubleParam

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    Definition Classes
    LightGBMParams

  122. def toString(): String

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    Definition Classes
    Identifiable → AnyRef → Any

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

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    Trains the LightGBM Regression model.

    Trains the LightGBM Regression model.

    dataset

    The input dataset to train.

    returns

    The trained model.

    Attributes
    protected
    Definition Classes
    LightGBMRegressor → Predictor

  124. def transformSchema(schema: StructType): StructType

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    Definition Classes
    Predictor → PipelineStage

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

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    Attributes
    protected
    Definition Classes
    PipelineStage
    Annotations
    @DeveloperApi()

  126. val tweedieVariancePower: DoubleParam

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  127. val uid: String

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    The unique ID.

    The unique ID.

    Definition Classes
    LightGBMRegressor → Identifiable

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

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    Attributes
    protected
    Definition Classes
    PredictorParams

  129. final def wait(): Unit

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

  132. def write: MLWriter

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    Definition Classes
    DefaultParamsWritable → MLWritable

Inherited from LightGBMParams

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 org.apache.spark.ml.param.shared.HasFeaturesCol

Inherited from org.apache.spark.ml.param.shared.HasLabelCol

Inherited from Estimator[LightGBMRegressionModel]

Inherited from PipelineStage

Inherited from org.apache.spark.internal.Logging

Inherited from Params

Inherited from Serializable

Inherited from Serializable

Inherited from Identifiable

Inherited from AnyRef

Inherited from Any

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