Class/Object

com.microsoft.ml.spark.lightgbm

LightGBMRegressor

Related Docs: object LightGBMRegressor | package lightgbm

Permalink

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
Ordering
  1. Alphabetic
  2. By Inheritance
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
  1. Hide All
  2. Show All
Visibility
  1. Public
  2. All

Instance Constructors

  1. new LightGBMRegressor()

    Permalink

  2. new LightGBMRegressor(uid: String)

    Permalink

    uid

    The unique ID.

Value Members

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

    Permalink
    Definition Classes
    AnyRef → Any

  2. final def ##(): Int

    Permalink
    Definition Classes
    AnyRef → Any

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

    Permalink
    Attributes
    protected
    Definition Classes
    Params

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

    Permalink
    Definition Classes
    AnyRef → Any

  5. def additionalPythonMethods(): String

    Permalink
    Definition Classes
    Wrappable

  6. val alpha: DoubleParam

    Permalink

  7. final def asInstanceOf[T0]: T0

    Permalink
    Definition Classes
    Any

  8. val baggingFraction: DoubleParam

    Permalink
    Definition Classes
    LightGBMParams

  9. val baggingFreq: IntParam

    Permalink
    Definition Classes
    LightGBMParams

  10. val baggingSeed: IntParam

    Permalink
    Definition Classes
    LightGBMParams

  11. val boostFromAverage: BooleanParam

    Permalink
    Definition Classes
    LightGBMParams

  12. val boostingType: Param[String]

    Permalink
    Definition Classes
    LightGBMParams

  13. def castColumns(dataset: Dataset[_], trainingCols: Array[(String, DataType)]): DataFrame

    Permalink
    Attributes
    protected
    Definition Classes
    LightGBMBase

  14. val categoricalSlotIndexes: IntArrayParam

    Permalink
    Definition Classes
    LightGBMParams

  15. val categoricalSlotNames: StringArrayParam

    Permalink
    Definition Classes
    LightGBMParams

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

    Permalink
    Definition Classes
    Params

  17. def clone(): AnyRef

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

  18. def copy(extra: ParamMap): LightGBMRegressor

    Permalink
    Definition Classes
    LightGBMRegressor → Predictor → Estimator → PipelineStage → Params

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

    Permalink
    Attributes
    protected
    Definition Classes
    Params

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

    Permalink
    Attributes
    protected
    Definition Classes
    Params

  21. val defaultListenPort: IntParam

    Permalink
    Definition Classes
    LightGBMExecutionParams

  22. val earlyStoppingRound: IntParam

    Permalink
    Definition Classes
    LightGBMParams

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

    Permalink
    Definition Classes
    AnyRef

  24. def equals(arg0: Any): Boolean

    Permalink
    Definition Classes
    AnyRef → Any

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

    Permalink
    Definition Classes
    Params

  26. def explainParams(): String

    Permalink
    Definition Classes
    Params

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

    Permalink
    Attributes
    protected
    Definition Classes
    Predictor

  28. final def extractParamMap(): ParamMap

    Permalink
    Definition Classes
    Params

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

    Permalink
    Definition Classes
    Params

  30. val featureFraction: DoubleParam

    Permalink
    Definition Classes
    LightGBMParams

  31. final val featuresCol: Param[String]

    Permalink
    Definition Classes
    HasFeaturesCol

  32. def finalize(): Unit

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

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

    Permalink
    Definition Classes
    Predictor → Estimator

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

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

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

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

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

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

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

    Permalink
    Definition Classes
    Params

  38. def getAlpha: Double

    Permalink

  39. def getBaggingFraction: Double

    Permalink
    Definition Classes
    LightGBMParams

  40. def getBaggingFreq: Int

    Permalink
    Definition Classes
    LightGBMParams

  41. def getBaggingSeed: Int

    Permalink
    Definition Classes
    LightGBMParams

  42. def getBoostFromAverage: Boolean

    Permalink
    Definition Classes
    LightGBMParams

  43. def getBoostingType: String

    Permalink
    Definition Classes
    LightGBMParams

  44. def getCategoricalSlotIndexes: Array[Int]

    Permalink
    Definition Classes
    LightGBMParams

  45. def getCategoricalSlotNames: Array[String]

    Permalink
    Definition Classes
    LightGBMParams

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

    Permalink
    Definition Classes
    AnyRef → Any

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

    Permalink
    Definition Classes
    Params

  48. def getDefaultListenPort: Int

    Permalink
    Definition Classes
    LightGBMExecutionParams

  49. def getEarlyStoppingRound: Int

    Permalink
    Definition Classes
    LightGBMParams

  50. def getFeatureFraction: Double

    Permalink
    Definition Classes
    LightGBMParams

  51. final def getFeaturesCol: String

    Permalink
    Definition Classes
    HasFeaturesCol

  52. def getInitScoreCol: String

    Permalink

    Definition Classes
    HasInitScoreCol

  53. def getIsProvideTrainingMetric: Boolean

    Permalink
    Definition Classes
    LightGBMParams

  54. final def getLabelCol: String

    Permalink
    Definition Classes
    HasLabelCol

  55. def getLambdaL1: Double

    Permalink
    Definition Classes
    LightGBMParams

  56. def getLambdaL2: Double

    Permalink
    Definition Classes
    LightGBMParams

  57. def getLearningRate: Double

    Permalink
    Definition Classes
    LightGBMParams

  58. def getMaxBin: Int

    Permalink
    Definition Classes
    LightGBMParams

  59. def getMaxDepth: Int

    Permalink
    Definition Classes
    LightGBMParams

  60. def getMetric: String

    Permalink
    Definition Classes
    LightGBMParams

  61. def getMinSumHessianInLeaf: Double

    Permalink
    Definition Classes
    LightGBMParams

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

    Permalink

    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

  63. def getModelString: String

    Permalink
    Definition Classes
    LightGBMParams

  64. def getNumBatches: Int

    Permalink
    Definition Classes
    LightGBMParams

  65. def getNumIterations: Int

    Permalink
    Definition Classes
    LightGBMParams

  66. def getNumLeaves: Int

    Permalink
    Definition Classes
    LightGBMParams

  67. def getObjective: String

    Permalink
    Definition Classes
    LightGBMParams

  68. def getOptGroupCol: Option[String]

    Permalink

    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

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

    Permalink
    Definition Classes
    Params

  70. def getParallelism: String

    Permalink
    Definition Classes
    LightGBMExecutionParams

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

    Permalink
    Definition Classes
    Params

  72. final def getPredictionCol: String

    Permalink
    Definition Classes
    HasPredictionCol

  73. def getTimeout: Double

    Permalink
    Definition Classes
    LightGBMExecutionParams

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

    Permalink

    Gets the training parameters.

    Gets the training parameters.

    returns

    train parameters.

    Definition Classes
    LightGBMRegressor → LightGBMBase

  75. def getTrainingCols(): Array[(String, DataType)]

    Permalink
    Attributes
    protected
    Definition Classes
    LightGBMBase

  76. def getTweedieVariancePower: Double

    Permalink

  77. def getUseBarrierExecutionMode: Boolean

    Permalink
    Definition Classes
    LightGBMExecutionParams

  78. def getValidationIndicatorCol: String

    Permalink

    Definition Classes
    HasValidationIndicatorCol

  79. def getVerbosity: Int

    Permalink
    Definition Classes
    LightGBMParams

  80. def getWeightCol: String

    Permalink

    Definition Classes
    HasWeightCol

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

    Permalink
    Definition Classes
    Params

  82. def hasParam(paramName: String): Boolean

    Permalink
    Definition Classes
    Params

  83. def hashCode(): Int

    Permalink
    Definition Classes
    AnyRef → Any

  84. val initScoreCol: Param[String]

    Permalink

    The name of the initial score column

    The name of the initial score column

    Definition Classes
    HasInitScoreCol

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

    Permalink
    Attributes
    protected
    Definition Classes
    Logging

  86. def initializeLogIfNecessary(isInterpreter: Boolean): Unit

    Permalink
    Attributes
    protected
    Definition Classes
    Logging

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

    Permalink
    Attributes
    protected
    Definition Classes
    LightGBMBase

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

    Permalink
    Definition Classes
    Params

  89. final def isInstanceOf[T0]: Boolean

    Permalink
    Definition Classes
    Any

  90. val isProvideTrainingMetric: BooleanParam

    Permalink
    Definition Classes
    LightGBMParams

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

    Permalink
    Definition Classes
    Params

  92. def isTraceEnabled(): Boolean

    Permalink
    Attributes
    protected
    Definition Classes
    Logging

  93. final val labelCol: Param[String]

    Permalink
    Definition Classes
    HasLabelCol

  94. val lambdaL1: DoubleParam

    Permalink
    Definition Classes
    LightGBMParams

  95. val lambdaL2: DoubleParam

    Permalink
    Definition Classes
    LightGBMParams

  96. val learningRate: DoubleParam

    Permalink
    Definition Classes
    LightGBMParams

  97. def log: Logger

    Permalink
    Attributes
    protected
    Definition Classes
    Logging

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

    Permalink
    Attributes
    protected
    Definition Classes
    Logging

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

    Permalink
    Attributes
    protected
    Definition Classes
    Logging

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

    Permalink
    Attributes
    protected
    Definition Classes
    Logging

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

    Permalink
    Attributes
    protected
    Definition Classes
    Logging

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

    Permalink
    Attributes
    protected
    Definition Classes
    Logging

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

    Permalink
    Attributes
    protected
    Definition Classes
    Logging

  104. def logName: String

    Permalink
    Attributes
    protected
    Definition Classes
    Logging

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

    Permalink
    Attributes
    protected
    Definition Classes
    Logging

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

    Permalink
    Attributes
    protected
    Definition Classes
    Logging

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

    Permalink
    Attributes
    protected
    Definition Classes
    Logging

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

    Permalink
    Attributes
    protected
    Definition Classes
    Logging

  109. val maxBin: IntParam

    Permalink
    Definition Classes
    LightGBMParams

  110. val maxDepth: IntParam

    Permalink
    Definition Classes
    LightGBMParams

  111. val metric: Param[String]

    Permalink
    Definition Classes
    LightGBMParams

  112. val minSumHessianInLeaf: DoubleParam

    Permalink
    Definition Classes
    LightGBMParams

  113. val modelString: Param[String]

    Permalink
    Definition Classes
    LightGBMParams

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

    Permalink
    Definition Classes
    AnyRef

  115. final def notify(): Unit

    Permalink
    Definition Classes
    AnyRef

  116. final def notifyAll(): Unit

    Permalink
    Definition Classes
    AnyRef

  117. val numBatches: IntParam

    Permalink
    Definition Classes
    LightGBMParams

  118. val numIterations: IntParam

    Permalink
    Definition Classes
    LightGBMParams

  119. val numLeaves: IntParam

    Permalink
    Definition Classes
    LightGBMParams

  120. val objective: Param[String]

    Permalink
    Definition Classes
    LightGBMParams

  121. val parallelism: Param[String]

    Permalink
    Definition Classes
    LightGBMExecutionParams

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

    Permalink
    Definition Classes
    Params

  123. final val predictionCol: Param[String]

    Permalink
    Definition Classes
    HasPredictionCol

  124. def prepareDataframe(dataset: Dataset[_], trainingCols: Array[(String, DataType)], numWorkers: Int): DataFrame

    Permalink
    Attributes
    protected
    Definition Classes
    LightGBMBase

  125. def preprocessData(dataset: DataFrame): DataFrame

    Permalink

    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

  126. def save(path: String): Unit

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

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

    Permalink
    Attributes
    protected
    Definition Classes
    Params

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

    Permalink
    Attributes
    protected
    Definition Classes
    Params

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

    Permalink
    Definition Classes
    Params

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

    Permalink

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

    Permalink
    Definition Classes
    LightGBMParams

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

    Permalink
    Definition Classes
    LightGBMParams

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

    Permalink
    Definition Classes
    LightGBMParams

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

    Permalink
    Definition Classes
    LightGBMParams

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

    Permalink
    Definition Classes
    LightGBMParams

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

    Permalink
    Definition Classes
    LightGBMParams

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

    Permalink
    Definition Classes
    LightGBMParams

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

    Permalink
    Attributes
    protected
    Definition Classes
    Params

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

    Permalink
    Attributes
    protected
    Definition Classes
    Params

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

    Permalink
    Definition Classes
    LightGBMExecutionParams

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

    Permalink
    Definition Classes
    LightGBMParams

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

    Permalink
    Definition Classes
    LightGBMParams

  143. def setFeaturesCol(value: String): LightGBMRegressor

    Permalink
    Definition Classes
    Predictor

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

    Permalink

    Definition Classes
    HasInitScoreCol

  145. def setIsProvideTrainingMetric(value: Boolean): LightGBMRegressor.this.type

    Permalink
    Definition Classes
    LightGBMParams

  146. def setLabelCol(value: String): LightGBMRegressor

    Permalink
    Definition Classes
    Predictor

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

    Permalink
    Definition Classes
    LightGBMParams

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

    Permalink
    Definition Classes
    LightGBMParams

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

    Permalink
    Definition Classes
    LightGBMParams

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

    Permalink
    Definition Classes
    LightGBMParams

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

    Permalink
    Definition Classes
    LightGBMParams

  152. def setMetric(value: String): LightGBMRegressor.this.type

    Permalink
    Definition Classes
    LightGBMParams

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

    Permalink
    Definition Classes
    LightGBMParams

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

    Permalink
    Definition Classes
    LightGBMParams

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

    Permalink
    Definition Classes
    LightGBMParams

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

    Permalink
    Definition Classes
    LightGBMParams

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

    Permalink
    Definition Classes
    LightGBMParams

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

    Permalink
    Definition Classes
    LightGBMParams

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

    Permalink
    Definition Classes
    LightGBMExecutionParams

  160. def setPredictionCol(value: String): LightGBMRegressor

    Permalink
    Definition Classes
    Predictor

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

    Permalink
    Definition Classes
    LightGBMExecutionParams

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

    Permalink

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

    Permalink
    Definition Classes
    LightGBMExecutionParams

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

    Permalink

    Definition Classes
    HasValidationIndicatorCol

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

    Permalink
    Definition Classes
    LightGBMParams

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

    Permalink

    Definition Classes
    HasWeightCol

  167. def stringFromTrainedModel(model: LightGBMRegressionModel): String

    Permalink
    Definition Classes
    LightGBMRegressor → LightGBMBase

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

    Permalink
    Definition Classes
    AnyRef

  169. val timeout: DoubleParam

    Permalink
    Definition Classes
    LightGBMExecutionParams

  170. def toString(): String

    Permalink
    Definition Classes
    Identifiable → AnyRef → Any

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

    Permalink

    Trains the LightGBM model.

    Trains the LightGBM model.

    dataset

    The input dataset to train.

    returns

    The trained model.

    Attributes
    protected
    Definition Classes
    LightGBMBase

  172. def transformSchema(schema: StructType): StructType

    Permalink
    Definition Classes
    Predictor → PipelineStage

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

    Permalink
    Attributes
    protected
    Definition Classes
    PipelineStage
    Annotations
    @DeveloperApi()

  174. val tweedieVariancePower: DoubleParam

    Permalink

  175. val uid: String

    Permalink

    The unique ID.

    The unique ID.

    Definition Classes
    LightGBMRegressor → Identifiable

  176. val useBarrierExecutionMode: BooleanParam

    Permalink
    Definition Classes
    LightGBMExecutionParams

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

    Permalink
    Attributes
    protected
    Definition Classes
    PredictorParams

  178. val validationIndicatorCol: Param[String]

    Permalink

    The name of the validation indicator column

    The name of the validation indicator column

    Definition Classes
    HasValidationIndicatorCol

  179. val verbosity: IntParam

    Permalink
    Definition Classes
    LightGBMParams

  180. final def wait(): Unit

    Permalink
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

    Permalink
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

    Permalink
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

  183. val weightCol: Param[String]

    Permalink

    The name of the weight column

    The name of the weight column

    Definition Classes
    HasWeightCol

  184. def write: MLWriter

    Permalink
    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