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

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:

  • regression_l2, L2 loss, alias=regression, mean_squared_error, mse, l2_root, root_mean_squared_error, rmse
  • regression_l1, L1 loss, alias=mean_absolute_error, mae
  • huber, Huber loss
  • fair, Fair loss
  • poisson, Poisson regression
  • quantile, Quantile regression
  • mape, MAPE loss, alias=mean_absolute_percentage_error
  • gamma, Gamma regression with log-link. It might be useful, e.g., for modeling insurance claims severity, or for any target that might be gamma-distributed
  • tweedie, Tweedie regression with log-link. It might be useful, e.g., for modeling total loss in insurance, or for any target that might be tweedie-distributed
Linear Supertypes
LightGBMBase[LightGBMRegressionModel], SynapseMLLogging, LightGBMPerformance, ComplexParamsWritable, LightGBMParams, LightGBMCategoricalParams, LightGBMSeedParams, LightGBMObjectiveParams, LightGBMPredictionParams, LightGBMDartParams, LightGBMDatasetParams, LightGBMLearnerParams, LightGBMBinParams, LightGBMFractionParams, LightGBMSlotParams, LightGBMExecutionParams, HasInitScoreCol, HasValidationIndicatorCol, HasWeightCol, DefaultParamsWritable, MLWritable, Wrappable, RWrappable, PythonWrappable, BaseWrappable, 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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  2. By Inheritance
Inherited
  1. LightGBMRegressor
  2. LightGBMBase
  3. SynapseMLLogging
  4. LightGBMPerformance
  5. ComplexParamsWritable
  6. LightGBMParams
  7. LightGBMCategoricalParams
  8. LightGBMSeedParams
  9. LightGBMObjectiveParams
  10. LightGBMPredictionParams
  11. LightGBMDartParams
  12. LightGBMDatasetParams
  13. LightGBMLearnerParams
  14. LightGBMBinParams
  15. LightGBMFractionParams
  16. LightGBMSlotParams
  17. LightGBMExecutionParams
  18. HasInitScoreCol
  19. HasValidationIndicatorCol
  20. HasWeightCol
  21. DefaultParamsWritable
  22. MLWritable
  23. Wrappable
  24. RWrappable
  25. PythonWrappable
  26. BaseWrappable
  27. BaseRegressor
  28. Regressor
  29. Predictor
  30. PredictorParams
  31. HasPredictionCol
  32. HasFeaturesCol
  33. HasLabelCol
  34. Estimator
  35. PipelineStage
  36. Logging
  37. Params
  38. Serializable
  39. Serializable
  40. Identifiable
  41. AnyRef
  42. Any
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Visibility
  1. Public
  2. All

Instance Constructors

  1. new LightGBMRegressor()
  2. new LightGBMRegressor(uid: String)

    uid

    The unique ID.

Value Members

  1. final def !=(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  2. final def ##(): Int
    Definition Classes
    AnyRef → Any
  3. final def $[T](param: Param[T]): T
    Attributes
    protected
    Definition Classes
    Params
  4. final def ==(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  5. def addCustomTrainParams(params: BaseTrainParams, dataset: Dataset[_]): BaseTrainParams
    Attributes
    protected
    Definition Classes
    LightGBMBase
  6. def afterTrainBatch(batchIndex: Int, dataset: Dataset[_], model: LightGBMRegressionModel): Unit
    Definition Classes
    LightGBMBase
  7. val alpha: DoubleParam
  8. final def asInstanceOf[T0]: T0
    Definition Classes
    Any
  9. val baggingFraction: DoubleParam
    Definition Classes
    LightGBMFractionParams
  10. val baggingFreq: IntParam
    Definition Classes
    LightGBMParams
  11. val baggingSeed: IntParam
    Definition Classes
    LightGBMSeedParams
  12. def beforeTrainBatch(batchIndex: Int, dataset: Dataset[_], model: Option[LightGBMRegressionModel]): Unit
    Definition Classes
    LightGBMBase
  13. val binSampleCount: IntParam
    Definition Classes
    LightGBMBinParams
  14. val boostFromAverage: BooleanParam
    Definition Classes
    LightGBMParams
  15. val boostingType: Param[String]
    Definition Classes
    LightGBMParams
  16. def castColumns(dataset: Dataset[_], trainingCols: Array[(String, Seq[DataType])]): DataFrame
    Attributes
    protected
    Definition Classes
    LightGBMBase
  17. val catSmooth: DoubleParam
    Definition Classes
    LightGBMCategoricalParams
  18. val categoricalSlotIndexes: IntArrayParam
    Definition Classes
    LightGBMSlotParams
  19. val categoricalSlotNames: StringArrayParam
    Definition Classes
    LightGBMSlotParams
  20. val catl2: DoubleParam
    Definition Classes
    LightGBMCategoricalParams
  21. val chunkSize: IntParam
    Definition Classes
    LightGBMExecutionParams
  22. lazy val classNameHelper: String
    Attributes
    protected
    Definition Classes
    BaseWrappable
  23. final def clear(param: Param[_]): LightGBMRegressor.this.type
    Definition Classes
    Params
  24. def clone(): AnyRef
    Attributes
    protected[lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( ... ) @native()
  25. def companionModelClassName: String
    Attributes
    protected
    Definition Classes
    BaseWrappable
  26. def copy(extra: ParamMap): LightGBMRegressor
    Definition Classes
    LightGBMRegressor → Predictor → Estimator → PipelineStage → Params
  27. def copyValues[T <: Params](to: T, extra: ParamMap): T
    Attributes
    protected
    Definition Classes
    Params
  28. lazy val copyrightLines: String
    Attributes
    protected
    Definition Classes
    BaseWrappable
  29. val dataRandomSeed: IntParam
    Definition Classes
    LightGBMSeedParams
  30. val dataTransferMode: Param[String]
    Definition Classes
    LightGBMExecutionParams
  31. final def defaultCopy[T <: Params](extra: ParamMap): T
    Attributes
    protected
    Definition Classes
    Params
  32. val defaultListenPort: IntParam
    Definition Classes
    LightGBMExecutionParams
  33. val delegate: Option[LightGBMDelegate]
    Definition Classes
    LightGBMParams
  34. val deterministic: BooleanParam
    Definition Classes
    LightGBMSeedParams
  35. val driverListenPort: IntParam
    Definition Classes
    LightGBMExecutionParams
  36. val dropRate: DoubleParam
    Definition Classes
    LightGBMDartParams
  37. val dropSeed: IntParam
    Definition Classes
    LightGBMSeedParams
  38. val earlyStoppingRound: IntParam
    Definition Classes
    LightGBMLearnerParams
  39. final def eq(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  40. def equals(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  41. def explainParam(param: Param[_]): String
    Definition Classes
    Params
  42. def explainParams(): String
    Definition Classes
    Params
  43. val extraSeed: IntParam
    Definition Classes
    LightGBMSeedParams
  44. final def extractParamMap(): ParamMap
    Definition Classes
    Params
  45. final def extractParamMap(extra: ParamMap): ParamMap
    Definition Classes
    Params
  46. val featureFraction: DoubleParam
    Definition Classes
    LightGBMFractionParams
  47. val featureFractionByNode: DoubleParam
    Definition Classes
    LightGBMFractionParams
  48. val featureFractionSeed: IntParam
    Definition Classes
    LightGBMSeedParams
  49. final val featuresCol: Param[String]
    Definition Classes
    HasFeaturesCol
  50. val featuresShapCol: Param[String]
    Definition Classes
    LightGBMPredictionParams
  51. def finalize(): Unit
    Attributes
    protected[lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] )
  52. def fit(dataset: Dataset[_]): LightGBMRegressionModel
    Definition Classes
    Predictor → Estimator
  53. def fit(dataset: Dataset[_], paramMaps: Seq[ParamMap]): Seq[LightGBMRegressionModel]
    Definition Classes
    Estimator
    Annotations
    @Since( "2.0.0" )
  54. def fit(dataset: Dataset[_], paramMap: ParamMap): LightGBMRegressionModel
    Definition Classes
    Estimator
    Annotations
    @Since( "2.0.0" )
  55. def fit(dataset: Dataset[_], firstParamPair: ParamPair[_], otherParamPairs: ParamPair[_]*): LightGBMRegressionModel
    Definition Classes
    Estimator
    Annotations
    @Since( "2.0.0" ) @varargs()
  56. val fobj: FObjParam
    Definition Classes
    LightGBMObjectiveParams
  57. final def get[T](param: Param[T]): Option[T]
    Definition Classes
    Params
  58. def getAllPerformanceMeasures: Option[Array[InstrumentationMeasures]]
    Definition Classes
    LightGBMPerformance
  59. def getAlpha: Double
  60. def getBaggingFraction: Double
    Definition Classes
    LightGBMFractionParams
  61. def getBaggingFreq: Int
    Definition Classes
    LightGBMParams
  62. def getBaggingSeed: Int
    Definition Classes
    LightGBMSeedParams
  63. def getBinSampleCount: Int
    Definition Classes
    LightGBMBinParams
  64. def getBoostFromAverage: Boolean
    Definition Classes
    LightGBMParams
  65. def getBoostingType: String
    Definition Classes
    LightGBMParams
  66. def getCatSmooth: Double
    Definition Classes
    LightGBMCategoricalParams
  67. def getCategoricalIndexes(featuresSchema: StructField): Array[Int]

    Retrieves the categorical indexes in the features column.

    Retrieves the categorical indexes in the features column.

    featuresSchema

    The schema of the features column

    returns

    the categorical indexes in the features column.

    Attributes
    protected
    Definition Classes
    LightGBMBase
  68. def getCategoricalParams: CategoricalParams

    Constructs the CategoricalParams.

    Constructs the CategoricalParams.

    returns

    CategoricalParams object containing the parameters related to LightGBM categorical features.

    Attributes
    protected
    Definition Classes
    LightGBMBase
  69. def getCategoricalSlotIndexes: Array[Int]
    Definition Classes
    LightGBMSlotParams
  70. def getCategoricalSlotNames: Array[String]
    Definition Classes
    LightGBMSlotParams
  71. def getCatl2: Double
    Definition Classes
    LightGBMCategoricalParams
  72. def getChunkSize: Int
    Definition Classes
    LightGBMExecutionParams
  73. final def getClass(): Class[_]
    Definition Classes
    AnyRef → Any
    Annotations
    @native()
  74. def getColumnParams: ColumnParams

    Constructs the ColumnParams.

    Constructs the ColumnParams.

    returns

    ColumnParams object containing the parameters related to LightGBM columns.

    Attributes
    protected
    Definition Classes
    LightGBMBase
  75. def getDartParams: DartModeParams

    Constructs the DartModeParams

    Constructs the DartModeParams

    returns

    DartModeParams object containing parameters related to dart mode.

    Attributes
    protected
    Definition Classes
    LightGBMBase
  76. def getDataRandomSeed: Int
    Definition Classes
    LightGBMSeedParams
  77. def getDataTransferMode: String
    Definition Classes
    LightGBMExecutionParams
  78. def getDatasetCreationParams(categoricalIndexes: Array[Int], numThreads: Int): String
    Attributes
    protected
    Definition Classes
    LightGBMBase
  79. def getDatasetParams: DatasetParams

    Constructs the DatasetParams.

    Constructs the DatasetParams.

    returns

    DatasetParams object containing parameters related to LightGBM Dataset parameters.

    Attributes
    protected
    Definition Classes
    LightGBMBase
  80. final def getDefault[T](param: Param[T]): Option[T]
    Definition Classes
    Params
  81. def getDefaultListenPort: Int
    Definition Classes
    LightGBMExecutionParams
  82. def getDelegate: Option[LightGBMDelegate]
    Definition Classes
    LightGBMParams
  83. def getDeterministic: Boolean
    Definition Classes
    LightGBMSeedParams
  84. def getDriverListenPort: Int
    Definition Classes
    LightGBMExecutionParams
  85. def getDropRate: Double
    Definition Classes
    LightGBMDartParams
  86. def getDropSeed: Int
    Definition Classes
    LightGBMSeedParams
  87. def getEarlyStoppingRound: Int
    Definition Classes
    LightGBMLearnerParams
  88. def getExecutionParams(numTasksPerExec: Int): ExecutionParams

    Constructs the ExecutionParams.

    Constructs the ExecutionParams.

    returns

    ExecutionParams object containing parameters related to LightGBM execution.

    Attributes
    protected
    Definition Classes
    LightGBMBase
  89. def getExtraSeed: Int
    Definition Classes
    LightGBMSeedParams
  90. def getFObj: FObjTrait
    Definition Classes
    LightGBMObjectiveParams
  91. def getFeatureFraction: Double
    Definition Classes
    LightGBMFractionParams
  92. def getFeatureFractionByNode: Double
    Definition Classes
    LightGBMFractionParams
  93. def getFeatureFractionSeed: Int
    Definition Classes
    LightGBMSeedParams
  94. final def getFeaturesCol: String
    Definition Classes
    HasFeaturesCol
  95. def getFeaturesShapCol: String
    Definition Classes
    LightGBMPredictionParams
  96. def getGeneralParams(numTasks: Int, featuresSchema: StructField): GeneralParams

    Constructs the GeneralParams.

    Constructs the GeneralParams.

    returns

    GeneralParams object containing parameters related to general LightGBM parameters.

    Attributes
    protected
    Definition Classes
    LightGBMBase
  97. def getImprovementTolerance: Double
    Definition Classes
    LightGBMLearnerParams
  98. def getInitScoreCol: String

    Definition Classes
    HasInitScoreCol
  99. def getIsEnableSparse: Boolean
    Definition Classes
    LightGBMDatasetParams
  100. def getIsProvideTrainingMetric: Boolean
    Definition Classes
    LightGBMParams
  101. final def getLabelCol: String
    Definition Classes
    HasLabelCol
  102. def getLambdaL1: Double
    Definition Classes
    LightGBMParams
  103. def getLambdaL2: Double
    Definition Classes
    LightGBMParams
  104. def getLeafPredictionCol: String
    Definition Classes
    LightGBMPredictionParams
  105. def getLearningRate: Double
    Definition Classes
    LightGBMParams
  106. def getMatrixType: String
    Definition Classes
    LightGBMExecutionParams
  107. def getMaxBin: Int
    Definition Classes
    LightGBMBinParams
  108. def getMaxBinByFeature: Array[Int]
    Definition Classes
    LightGBMParams
  109. def getMaxCatThreshold: Int
    Definition Classes
    LightGBMCategoricalParams
  110. def getMaxCatToOnehot: Int
    Definition Classes
    LightGBMCategoricalParams
  111. def getMaxDeltaStep: Double
    Definition Classes
    LightGBMParams
  112. def getMaxDepth: Int
    Definition Classes
    LightGBMParams
  113. def getMaxDrop: Int
    Definition Classes
    LightGBMDartParams
  114. def getMaxNumClasses: Int
    Definition Classes
    LightGBMParams
  115. def getMaxStreamingOMPThreads: Int
    Definition Classes
    LightGBMExecutionParams
  116. def getMetric: String
    Definition Classes
    LightGBMParams
  117. def getMicroBatchSize: Int
    Definition Classes
    LightGBMExecutionParams
  118. def getMinDataInLeaf: Int
    Definition Classes
    LightGBMParams
  119. def getMinDataPerBin: Int
    Definition Classes
    LightGBMParams
  120. def getMinDataPerGroup: Int
    Definition Classes
    LightGBMCategoricalParams
  121. def getMinGainToSplit: Double
    Definition Classes
    LightGBMParams
  122. def getMinSumHessianInLeaf: Double
    Definition Classes
    LightGBMParams
  123. def getModel(trainParams: BaseTrainParams, lightGBMBooster: LightGBMBooster): LightGBMRegressionModel

    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
  124. def getModelString: String
    Definition Classes
    LightGBMParams
  125. def getMonotoneConstraints: Array[Int]
    Definition Classes
    LightGBMLearnerParams
  126. def getMonotoneConstraintsMethod: String
    Definition Classes
    LightGBMLearnerParams
  127. def getMonotonePenalty: Double
    Definition Classes
    LightGBMLearnerParams
  128. def getNegBaggingFraction: Double
    Definition Classes
    LightGBMFractionParams
  129. def getNumBatches: Int
    Definition Classes
    LightGBMExecutionParams
  130. def getNumIterations: Int
    Definition Classes
    LightGBMParams
  131. def getNumLeaves: Int
    Definition Classes
    LightGBMParams
  132. def getNumTasks: Int
    Definition Classes
    LightGBMExecutionParams
  133. def getNumThreads: Int
    Definition Classes
    LightGBMExecutionParams
  134. def getObjective: String
    Definition Classes
    LightGBMObjectiveParams
  135. def getObjectiveParams: ObjectiveParams

    Constructs the ObjectiveParams.

    Constructs the ObjectiveParams.

    returns

    ObjectiveParams object containing parameters related to the objective function.

    Attributes
    protected
    Definition Classes
    LightGBMBase
  136. def getObjectiveSeed: Int
    Definition Classes
    LightGBMSeedParams
  137. def getOptGroupCol: Option[String]

    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
  138. final def getOrDefault[T](param: Param[T]): T
    Definition Classes
    Params
  139. def getOtherRate: Double
    Definition Classes
    LightGBMLearnerParams
  140. def getParallelism: String
    Definition Classes
    LightGBMExecutionParams
  141. def getParam(paramName: String): Param[Any]
    Definition Classes
    Params
  142. def getParamInfo(p: Param[_]): ParamInfo[_]
    Definition Classes
    BaseWrappable
  143. def getPassThroughArgs: String
    Definition Classes
    LightGBMExecutionParams
  144. def getPayload(methodName: String, numCols: Option[Int], executionSeconds: Option[Double], exception: Option[Exception]): Map[String, String]
    Attributes
    protected
    Definition Classes
    SynapseMLLogging
  145. def getPerformanceMeasures: Option[InstrumentationMeasures]

    In the common case of 1 batch, there is only 1 measure, so this is a convenience method.

    In the common case of 1 batch, there is only 1 measure, so this is a convenience method.

    Definition Classes
    LightGBMPerformance
  146. def getPosBaggingFraction: Double
    Definition Classes
    LightGBMFractionParams
  147. def getPredictDisableShapeCheck: Boolean
    Definition Classes
    LightGBMPredictionParams
  148. final def getPredictionCol: String
    Definition Classes
    HasPredictionCol
  149. def getReferenceDataset: Array[Byte]
    Definition Classes
    LightGBMExecutionParams
  150. def getRepartitionByGroupingColumn: Boolean
    Definition Classes
    LightGBMExecutionParams
  151. def getSamplingMode: String
    Definition Classes
    LightGBMExecutionParams
  152. def getSamplingSubsetSize: Int
    Definition Classes
    LightGBMExecutionParams
  153. def getSeed: Int
    Definition Classes
    LightGBMSeedParams
  154. def getSeedParams: SeedParams

    Constructs the SeedParams.

    Constructs the SeedParams.

    returns

    SeedParams object containing the parameters related to LightGBM seeds and determinism.

    Attributes
    protected
    Definition Classes
    LightGBMBase
  155. def getSkipDrop: Double
    Definition Classes
    LightGBMDartParams
  156. def getSlotNames: Array[String]
    Definition Classes
    LightGBMSlotParams
  157. def getTimeout: Double
    Definition Classes
    LightGBMExecutionParams
  158. def getTopK: Int
    Definition Classes
    LightGBMExecutionParams
  159. def getTopRate: Double
    Definition Classes
    LightGBMLearnerParams
  160. def getTrainParams(numTasks: Int, featuresSchema: StructField, numTasksPerExec: Int): BaseTrainParams

    Gets the training parameters.

    Gets the training parameters.

    numTasks

    The total number of tasks.

    featuresSchema

    The features column schema.

    numTasksPerExec

    The number of tasks per executor.

    returns

    train parameters.

    Definition Classes
    LightGBMRegressor → LightGBMBase
  161. def getTrainingCols: Array[(String, Seq[DataType])]
    Attributes
    protected
    Definition Classes
    LightGBMBase
  162. def getTweedieVariancePower: Double
  163. def getUniformDrop: Boolean
    Definition Classes
    LightGBMDartParams
  164. def getUseBarrierExecutionMode: Boolean
    Definition Classes
    LightGBMExecutionParams
  165. def getUseMissing: Boolean
    Definition Classes
    LightGBMDatasetParams
  166. def getUseSingleDatasetMode: Boolean
    Definition Classes
    LightGBMExecutionParams
  167. def getValidationIndicatorCol: String

    Definition Classes
    HasValidationIndicatorCol
  168. def getVerbosity: Int
    Definition Classes
    LightGBMParams
  169. def getWeightCol: String

    Definition Classes
    HasWeightCol
  170. def getXGBoostDartMode: Boolean
    Definition Classes
    LightGBMDartParams
  171. def getZeroAsMissing: Boolean
    Definition Classes
    LightGBMDatasetParams
  172. final def hasDefault[T](param: Param[T]): Boolean
    Definition Classes
    Params
  173. def hasParam(paramName: String): Boolean
    Definition Classes
    Params
  174. def hashCode(): Int
    Definition Classes
    AnyRef → Any
    Annotations
    @native()
  175. val improvementTolerance: DoubleParam
    Definition Classes
    LightGBMLearnerParams
  176. def initPerformanceMeasures(batchCount: Int): Unit
    Attributes
    protected
    Definition Classes
    LightGBMPerformance
  177. val initScoreCol: Param[String]

    The name of the initial score column

    The name of the initial score column

    Definition Classes
    HasInitScoreCol
  178. def initializeLogIfNecessary(isInterpreter: Boolean, silent: Boolean): Boolean
    Attributes
    protected
    Definition Classes
    Logging
  179. def initializeLogIfNecessary(isInterpreter: Boolean): Unit
    Attributes
    protected
    Definition Classes
    Logging
  180. final def isDefined(param: Param[_]): Boolean
    Definition Classes
    Params
  181. val isEnableSparse: BooleanParam
    Definition Classes
    LightGBMDatasetParams
  182. final def isInstanceOf[T0]: Boolean
    Definition Classes
    Any
  183. val isProvideTrainingMetric: BooleanParam
    Definition Classes
    LightGBMParams
  184. final def isSet(param: Param[_]): Boolean
    Definition Classes
    Params
  185. def isTraceEnabled(): Boolean
    Attributes
    protected
    Definition Classes
    Logging
  186. final val labelCol: Param[String]
    Definition Classes
    HasLabelCol
  187. val lambdaL1: DoubleParam
    Definition Classes
    LightGBMParams
  188. val lambdaL2: DoubleParam
    Definition Classes
    LightGBMParams
  189. val leafPredictionCol: Param[String]
    Definition Classes
    LightGBMPredictionParams
  190. val learningRate: DoubleParam
    Definition Classes
    LightGBMParams
  191. def log: Logger
    Attributes
    protected
    Definition Classes
    Logging
  192. def logBase(info: Map[String, String], featureName: Option[String]): Unit
    Attributes
    protected
    Definition Classes
    SynapseMLLogging
  193. def logBase(methodName: String, numCols: Option[Int], executionSeconds: Option[Double], featureName: Option[String]): Unit
    Attributes
    protected
    Definition Classes
    SynapseMLLogging
  194. def logClass(featureName: String): Unit
    Definition Classes
    SynapseMLLogging
  195. def logDebug(msg: ⇒ String, throwable: Throwable): Unit
    Attributes
    protected
    Definition Classes
    Logging
  196. def logDebug(msg: ⇒ String): Unit
    Attributes
    protected
    Definition Classes
    Logging
  197. def logError(msg: ⇒ String, throwable: Throwable): Unit
    Attributes
    protected
    Definition Classes
    Logging
  198. def logError(msg: ⇒ String): Unit
    Attributes
    protected
    Definition Classes
    Logging
  199. def logErrorBase(methodName: String, e: Exception): Unit
    Attributes
    protected
    Definition Classes
    SynapseMLLogging
  200. def logFit[T](f: ⇒ T, columns: Int): T
    Definition Classes
    SynapseMLLogging
  201. def logInfo(msg: ⇒ String, throwable: Throwable): Unit
    Attributes
    protected
    Definition Classes
    Logging
  202. def logInfo(msg: ⇒ String): Unit
    Attributes
    protected
    Definition Classes
    Logging
  203. def logName: String
    Attributes
    protected
    Definition Classes
    Logging
  204. def logTrace(msg: ⇒ String, throwable: Throwable): Unit
    Attributes
    protected
    Definition Classes
    Logging
  205. def logTrace(msg: ⇒ String): Unit
    Attributes
    protected
    Definition Classes
    Logging
  206. def logTransform[T](f: ⇒ T, columns: Int): T
    Definition Classes
    SynapseMLLogging
  207. def logVerb[T](verb: String, f: ⇒ T, columns: Option[Int] = None): T
    Definition Classes
    SynapseMLLogging
  208. def logWarning(msg: ⇒ String, throwable: Throwable): Unit
    Attributes
    protected
    Definition Classes
    Logging
  209. def logWarning(msg: ⇒ String): Unit
    Attributes
    protected
    Definition Classes
    Logging
  210. def makePyFile(conf: CodegenConfig): Unit
    Definition Classes
    PythonWrappable
  211. def makeRFile(conf: CodegenConfig): Unit
    Definition Classes
    RWrappable
  212. val matrixType: Param[String]
    Definition Classes
    LightGBMExecutionParams
  213. val maxBin: IntParam
    Definition Classes
    LightGBMBinParams
  214. val maxBinByFeature: IntArrayParam
    Definition Classes
    LightGBMParams
  215. val maxCatThreshold: IntParam
    Definition Classes
    LightGBMCategoricalParams
  216. val maxCatToOnehot: IntParam
    Definition Classes
    LightGBMCategoricalParams
  217. val maxDeltaStep: DoubleParam
    Definition Classes
    LightGBMParams
  218. val maxDepth: IntParam
    Definition Classes
    LightGBMParams
  219. val maxDrop: IntParam
    Definition Classes
    LightGBMDartParams
  220. val maxNumClasses: IntParam
    Definition Classes
    LightGBMParams
  221. val maxStreamingOMPThreads: IntParam
    Definition Classes
    LightGBMExecutionParams
  222. val metric: Param[String]
    Definition Classes
    LightGBMParams
  223. val microBatchSize: IntParam
    Definition Classes
    LightGBMExecutionParams
  224. val minDataInLeaf: IntParam
    Definition Classes
    LightGBMParams
  225. val minDataPerBin: IntParam
    Definition Classes
    LightGBMParams
  226. val minDataPerGroup: IntParam
    Definition Classes
    LightGBMCategoricalParams
  227. val minGainToSplit: DoubleParam
    Definition Classes
    LightGBMParams
  228. val minSumHessianInLeaf: DoubleParam
    Definition Classes
    LightGBMParams
  229. val modelString: Param[String]
    Definition Classes
    LightGBMParams
  230. val monotoneConstraints: IntArrayParam
    Definition Classes
    LightGBMLearnerParams
  231. val monotoneConstraintsMethod: Param[String]
    Definition Classes
    LightGBMLearnerParams
  232. val monotonePenalty: DoubleParam
    Definition Classes
    LightGBMLearnerParams
  233. final def ne(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  234. val negBaggingFraction: DoubleParam
    Definition Classes
    LightGBMFractionParams
  235. final def notify(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native()
  236. final def notifyAll(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native()
  237. val numBatches: IntParam
    Definition Classes
    LightGBMExecutionParams
  238. val numIterations: IntParam
    Definition Classes
    LightGBMParams
  239. val numLeaves: IntParam
    Definition Classes
    LightGBMParams
  240. val numTasks: IntParam
    Definition Classes
    LightGBMExecutionParams
  241. val numThreads: IntParam
    Definition Classes
    LightGBMExecutionParams
  242. val objective: Param[String]
    Definition Classes
    LightGBMObjectiveParams
  243. val objectiveSeed: IntParam
    Definition Classes
    LightGBMSeedParams
  244. val otherRate: DoubleParam
    Definition Classes
    LightGBMLearnerParams
  245. val parallelism: Param[String]
    Definition Classes
    LightGBMExecutionParams
  246. lazy val params: Array[Param[_]]
    Definition Classes
    Params
  247. val passThroughArgs: Param[String]
    Definition Classes
    LightGBMExecutionParams
  248. val posBaggingFraction: DoubleParam
    Definition Classes
    LightGBMFractionParams
  249. val predictDisableShapeCheck: BooleanParam
    Definition Classes
    LightGBMPredictionParams
  250. final val predictionCol: Param[String]
    Definition Classes
    HasPredictionCol
  251. def prepareDataframe(dataset: Dataset[_], numTasks: Int): DataFrame
    Attributes
    protected
    Definition Classes
    LightGBMBase
  252. def preprocessData(df: DataFrame): DataFrame

    Allow algorithm specific preprocessing of dataset.

    Allow algorithm specific preprocessing of dataset.

    df

    The dataframe to preprocess prior to training.

    returns

    The preprocessed data.

    Attributes
    protected
    Definition Classes
    LightGBMBase
  253. def pyAdditionalMethods: String
    Definition Classes
    PythonWrappable
  254. lazy val pyClassDoc: String
    Attributes
    protected
    Definition Classes
    PythonWrappable
  255. lazy val pyClassName: String
    Attributes
    protected
    Definition Classes
    PythonWrappable
  256. def pyExtraEstimatorImports: String
    Attributes
    protected
    Definition Classes
    PythonWrappable
  257. def pyExtraEstimatorMethods: String
    Attributes
    protected
    Definition Classes
    PythonWrappable
  258. lazy val pyInheritedClasses: Seq[String]
    Attributes
    protected
    Definition Classes
    PythonWrappable
  259. def pyInitFunc(): String
    Definition Classes
    PythonWrappable
  260. lazy val pyInternalWrapper: Boolean
    Attributes
    protected
    Definition Classes
    PythonWrappable
  261. lazy val pyObjectBaseClass: String
    Attributes
    protected
    Definition Classes
    PythonWrappable
  262. def pyParamArg[T](p: Param[T]): String
    Attributes
    protected
    Definition Classes
    PythonWrappable
  263. def pyParamDefault[T](p: Param[T]): Option[String]
    Attributes
    protected
    Definition Classes
    PythonWrappable
  264. def pyParamGetter(p: Param[_]): String
    Attributes
    protected
    Definition Classes
    PythonWrappable
  265. def pyParamSetter(p: Param[_]): String
    Attributes
    protected
    Definition Classes
    PythonWrappable
  266. def pyParamsArgs: String
    Attributes
    protected
    Definition Classes
    PythonWrappable
  267. def pyParamsDefaults: String
    Attributes
    protected
    Definition Classes
    PythonWrappable
  268. lazy val pyParamsDefinitions: String
    Attributes
    protected
    Definition Classes
    PythonWrappable
  269. def pyParamsGetters: String
    Attributes
    protected
    Definition Classes
    PythonWrappable
  270. def pyParamsSetters: String
    Attributes
    protected
    Definition Classes
    PythonWrappable
  271. def pythonClass(): String
    Attributes
    protected
    Definition Classes
    PythonWrappable
  272. def rClass(): String
    Attributes
    protected
    Definition Classes
    RWrappable
  273. def rDocString: String
    Attributes
    protected
    Definition Classes
    RWrappable
  274. def rExtraBodyLines: String
    Attributes
    protected
    Definition Classes
    RWrappable
  275. def rExtraInitLines: String
    Attributes
    protected
    Definition Classes
    RWrappable
  276. lazy val rFuncName: String
    Attributes
    protected
    Definition Classes
    RWrappable
  277. lazy val rInternalWrapper: Boolean
    Attributes
    protected
    Definition Classes
    RWrappable
  278. def rParamArg[T](p: Param[T]): String
    Attributes
    protected
    Definition Classes
    RWrappable
  279. def rParamsArgs: String
    Attributes
    protected
    Definition Classes
    RWrappable
  280. def rSetterLines: String
    Attributes
    protected
    Definition Classes
    RWrappable
  281. val referenceDataset: ByteArrayParam
    Definition Classes
    LightGBMExecutionParams
  282. val repartitionByGroupingColumn: BooleanParam
    Definition Classes
    LightGBMExecutionParams
  283. val samplingMode: Param[String]
    Definition Classes
    LightGBMExecutionParams
  284. val samplingSubsetSize: IntParam
    Definition Classes
    LightGBMExecutionParams
  285. def save(path: String): Unit
    Definition Classes
    MLWritable
    Annotations
    @Since( "1.6.0" ) @throws( ... )
  286. val seed: IntParam
    Definition Classes
    LightGBMSeedParams
  287. final def set(paramPair: ParamPair[_]): LightGBMRegressor.this.type
    Attributes
    protected
    Definition Classes
    Params
  288. final def set(param: String, value: Any): LightGBMRegressor.this.type
    Attributes
    protected
    Definition Classes
    Params
  289. final def set[T](param: Param[T], value: T): LightGBMRegressor.this.type
    Definition Classes
    Params
  290. def setAlpha(value: Double): LightGBMRegressor.this.type
  291. def setBaggingFraction(value: Double): LightGBMRegressor.this.type
    Definition Classes
    LightGBMFractionParams
  292. def setBaggingFreq(value: Int): LightGBMRegressor.this.type
    Definition Classes
    LightGBMParams
  293. def setBaggingSeed(value: Int): LightGBMRegressor.this.type
    Definition Classes
    LightGBMSeedParams
  294. def setBatchPerformanceMeasure(index: Int, measures: InstrumentationMeasures): Unit
    Attributes
    protected
    Definition Classes
    LightGBMPerformance
  295. def setBatchPerformanceMeasures(measures: Array[Option[InstrumentationMeasures]]): LightGBMRegressor.this.type
    Attributes
    protected
    Definition Classes
    LightGBMPerformance
  296. def setBinSampleCount(value: Int): LightGBMRegressor.this.type
    Definition Classes
    LightGBMBinParams
  297. def setBoostFromAverage(value: Boolean): LightGBMRegressor.this.type
    Definition Classes
    LightGBMParams
  298. def setBoostingType(value: String): LightGBMRegressor.this.type
    Definition Classes
    LightGBMParams
  299. def setCatSmooth(value: Double): LightGBMRegressor.this.type
    Definition Classes
    LightGBMCategoricalParams
  300. def setCategoricalSlotIndexes(value: Array[Int]): LightGBMRegressor.this.type
    Definition Classes
    LightGBMSlotParams
  301. def setCategoricalSlotNames(value: Array[String]): LightGBMRegressor.this.type
    Definition Classes
    LightGBMSlotParams
  302. def setCatl2(value: Double): LightGBMRegressor.this.type
    Definition Classes
    LightGBMCategoricalParams
  303. def setChunkSize(value: Int): LightGBMRegressor.this.type
    Definition Classes
    LightGBMExecutionParams
  304. def setDataRandomSeed(value: Int): LightGBMRegressor.this.type
    Definition Classes
    LightGBMSeedParams
  305. def setDataTransferMode(value: String): LightGBMRegressor.this.type
    Definition Classes
    LightGBMExecutionParams
  306. final def setDefault(paramPairs: ParamPair[_]*): LightGBMRegressor.this.type
    Attributes
    protected
    Definition Classes
    Params
  307. final def setDefault[T](param: Param[T], value: T): LightGBMRegressor.this.type
    Attributes
    protected[org.apache.spark.ml]
    Definition Classes
    Params
  308. def setDefaultListenPort(value: Int): LightGBMRegressor.this.type
    Definition Classes
    LightGBMExecutionParams
  309. def setDelegate(delegate: LightGBMDelegate): LightGBMRegressor.this.type
    Definition Classes
    LightGBMParams
  310. def setDeterministic(value: Boolean): LightGBMRegressor.this.type
    Definition Classes
    LightGBMSeedParams
  311. def setDriverListenPort(value: Int): LightGBMRegressor.this.type
    Definition Classes
    LightGBMExecutionParams
  312. def setDropRate(value: Double): LightGBMRegressor.this.type
    Definition Classes
    LightGBMDartParams
  313. def setDropSeed(value: Int): LightGBMRegressor.this.type
    Definition Classes
    LightGBMSeedParams
  314. def setEarlyStoppingRound(value: Int): LightGBMRegressor.this.type
    Definition Classes
    LightGBMLearnerParams
  315. def setExtraSeed(value: Int): LightGBMRegressor.this.type
    Definition Classes
    LightGBMSeedParams
  316. def setFObj(value: FObjTrait): LightGBMRegressor.this.type
    Definition Classes
    LightGBMObjectiveParams
  317. def setFeatureFraction(value: Double): LightGBMRegressor.this.type
    Definition Classes
    LightGBMFractionParams
  318. def setFeatureFractionByNode(value: Double): LightGBMRegressor.this.type
    Definition Classes
    LightGBMFractionParams
  319. def setFeatureFractionSeed(value: Int): LightGBMRegressor.this.type
    Definition Classes
    LightGBMSeedParams
  320. def setFeaturesCol(value: String): LightGBMRegressor
    Definition Classes
    Predictor
  321. def setFeaturesShapCol(value: String): LightGBMRegressor.this.type
    Definition Classes
    LightGBMPredictionParams
  322. def setImprovementTolerance(value: Double): LightGBMRegressor.this.type
    Definition Classes
    LightGBMLearnerParams
  323. def setInitScoreCol(value: String): LightGBMRegressor.this.type

    Definition Classes
    HasInitScoreCol
  324. def setIsEnableSparse(value: Boolean): LightGBMRegressor.this.type
    Definition Classes
    LightGBMDatasetParams
  325. def setIsProvideTrainingMetric(value: Boolean): LightGBMRegressor.this.type
    Definition Classes
    LightGBMParams
  326. def setLabelCol(value: String): LightGBMRegressor
    Definition Classes
    Predictor
  327. def setLambdaL1(value: Double): LightGBMRegressor.this.type
    Definition Classes
    LightGBMParams
  328. def setLambdaL2(value: Double): LightGBMRegressor.this.type
    Definition Classes
    LightGBMParams
  329. def setLeafPredictionCol(value: String): LightGBMRegressor.this.type
    Definition Classes
    LightGBMPredictionParams
  330. def setLearningRate(value: Double): LightGBMRegressor.this.type
    Definition Classes
    LightGBMParams
  331. def setMatrixType(value: String): LightGBMRegressor.this.type
    Definition Classes
    LightGBMExecutionParams
  332. def setMaxBin(value: Int): LightGBMRegressor.this.type
    Definition Classes
    LightGBMBinParams
  333. def setMaxBinByFeature(value: Array[Int]): LightGBMRegressor.this.type
    Definition Classes
    LightGBMParams
  334. def setMaxCatThreshold(value: Int): LightGBMRegressor.this.type
    Definition Classes
    LightGBMCategoricalParams
  335. def setMaxCatToOnehot(value: Int): LightGBMRegressor.this.type
    Definition Classes
    LightGBMCategoricalParams
  336. def setMaxDeltaStep(value: Double): LightGBMRegressor.this.type
    Definition Classes
    LightGBMParams
  337. def setMaxDepth(value: Int): LightGBMRegressor.this.type
    Definition Classes
    LightGBMParams
  338. def setMaxDrop(value: Int): LightGBMRegressor.this.type
    Definition Classes
    LightGBMDartParams
  339. def setMaxNumClasses(value: Int): LightGBMRegressor.this.type
    Definition Classes
    LightGBMParams
  340. def setMaxStreamingOMPThreads(value: Int): LightGBMRegressor.this.type
    Definition Classes
    LightGBMExecutionParams
  341. def setMetric(value: String): LightGBMRegressor.this.type
    Definition Classes
    LightGBMParams
  342. def setMicroBatchSize(value: Int): LightGBMRegressor.this.type
    Definition Classes
    LightGBMExecutionParams
  343. def setMinDataInLeaf(value: Int): LightGBMRegressor.this.type
    Definition Classes
    LightGBMParams
  344. def setMinDataPerBin(value: Int): LightGBMRegressor.this.type
    Definition Classes
    LightGBMParams
  345. def setMinDataPerGroup(value: Int): LightGBMRegressor.this.type
    Definition Classes
    LightGBMCategoricalParams
  346. def setMinGainToSplit(value: Double): LightGBMRegressor.this.type
    Definition Classes
    LightGBMParams
  347. def setMinSumHessianInLeaf(value: Double): LightGBMRegressor.this.type
    Definition Classes
    LightGBMParams
  348. def setModelString(value: String): LightGBMRegressor.this.type
    Definition Classes
    LightGBMParams
  349. def setMonotoneConstraints(value: Array[Int]): LightGBMRegressor.this.type
    Definition Classes
    LightGBMLearnerParams
  350. def setMonotoneConstraintsMethod(value: String): LightGBMRegressor.this.type
    Definition Classes
    LightGBMLearnerParams
  351. def setMonotonePenalty(value: Double): LightGBMRegressor.this.type
    Definition Classes
    LightGBMLearnerParams
  352. def setNegBaggingFraction(value: Double): LightGBMRegressor.this.type
    Definition Classes
    LightGBMFractionParams
  353. def setNumBatches(value: Int): LightGBMRegressor.this.type
    Definition Classes
    LightGBMExecutionParams
  354. def setNumIterations(value: Int): LightGBMRegressor.this.type
    Definition Classes
    LightGBMParams
  355. def setNumLeaves(value: Int): LightGBMRegressor.this.type
    Definition Classes
    LightGBMParams
  356. def setNumTasks(value: Int): LightGBMRegressor.this.type
    Definition Classes
    LightGBMExecutionParams
  357. def setNumThreads(value: Int): LightGBMRegressor.this.type
    Definition Classes
    LightGBMExecutionParams
  358. def setObjective(value: String): LightGBMRegressor.this.type
    Definition Classes
    LightGBMObjectiveParams
  359. def setObjectiveSeed(value: Int): LightGBMRegressor.this.type
    Definition Classes
    LightGBMSeedParams
  360. def setOtherRate(value: Double): LightGBMRegressor.this.type
    Definition Classes
    LightGBMLearnerParams
  361. def setParallelism(value: String): LightGBMRegressor.this.type
    Definition Classes
    LightGBMExecutionParams
  362. def setPassThroughArgs(value: String): LightGBMRegressor.this.type
    Definition Classes
    LightGBMExecutionParams
  363. def setPosBaggingFraction(value: Double): LightGBMRegressor.this.type
    Definition Classes
    LightGBMFractionParams
  364. def setPredictDisableShapeCheck(value: Boolean): LightGBMRegressor.this.type
    Definition Classes
    LightGBMPredictionParams
  365. def setPredictionCol(value: String): LightGBMRegressor
    Definition Classes
    Predictor
  366. def setReferenceDataset(value: Array[Byte]): LightGBMRegressor.this.type
    Definition Classes
    LightGBMExecutionParams
  367. def setRepartitionByGroupingColumn(value: Boolean): LightGBMRegressor.this.type
    Definition Classes
    LightGBMExecutionParams
  368. def setSamplingMode(value: String): LightGBMRegressor.this.type
    Definition Classes
    LightGBMExecutionParams
  369. def setSamplingSubsetSize(value: Int): LightGBMRegressor.this.type
    Definition Classes
    LightGBMExecutionParams
  370. def setSeed(value: Int): LightGBMRegressor.this.type
    Definition Classes
    LightGBMSeedParams
  371. def setSkipDrop(value: Double): LightGBMRegressor.this.type
    Definition Classes
    LightGBMDartParams
  372. def setSlotNames(value: Array[String]): LightGBMRegressor.this.type
    Definition Classes
    LightGBMSlotParams
  373. def setTimeout(value: Double): LightGBMRegressor.this.type
    Definition Classes
    LightGBMExecutionParams
  374. def setTopK(value: Int): LightGBMRegressor.this.type
    Definition Classes
    LightGBMExecutionParams
  375. def setTopRate(value: Double): LightGBMRegressor.this.type
    Definition Classes
    LightGBMLearnerParams
  376. def setTweedieVariancePower(value: Double): LightGBMRegressor.this.type
  377. def setUniformDrop(value: Boolean): LightGBMRegressor.this.type
    Definition Classes
    LightGBMDartParams
  378. def setUseBarrierExecutionMode(value: Boolean): LightGBMRegressor.this.type
    Definition Classes
    LightGBMExecutionParams
  379. def setUseMissing(value: Boolean): LightGBMRegressor.this.type
    Definition Classes
    LightGBMDatasetParams
  380. def setUseSingleDatasetMode(value: Boolean): LightGBMRegressor.this.type
    Definition Classes
    LightGBMExecutionParams
  381. def setValidationIndicatorCol(value: String): LightGBMRegressor.this.type

    Definition Classes
    HasValidationIndicatorCol
  382. def setVerbosity(value: Int): LightGBMRegressor.this.type
    Definition Classes
    LightGBMParams
  383. def setWeightCol(value: String): LightGBMRegressor.this.type

    Definition Classes
    HasWeightCol
  384. def setXGBoostDartMode(value: Boolean): LightGBMRegressor.this.type
    Definition Classes
    LightGBMDartParams
  385. def setZeroAsMissing(value: Boolean): LightGBMRegressor.this.type
    Definition Classes
    LightGBMDatasetParams
  386. val skipDrop: DoubleParam
    Definition Classes
    LightGBMDartParams
  387. val slotNames: StringArrayParam
    Definition Classes
    LightGBMSlotParams
  388. def stringFromTrainedModel(model: LightGBMRegressionModel): String
    Definition Classes
    LightGBMRegressor → LightGBMBase
  389. final def synchronized[T0](arg0: ⇒ T0): T0
    Definition Classes
    AnyRef
  390. val thisStage: Params
    Attributes
    protected
    Definition Classes
    BaseWrappable
  391. val timeout: DoubleParam
    Definition Classes
    LightGBMExecutionParams
  392. def toString(): String
    Definition Classes
    Identifiable → AnyRef → Any
  393. val topK: IntParam
    Definition Classes
    LightGBMExecutionParams
  394. val topRate: DoubleParam
    Definition Classes
    LightGBMLearnerParams
  395. def train(dataset: Dataset[_]): LightGBMRegressionModel

    Trains the LightGBM model.

    Trains the LightGBM model. If batches are specified, breaks training dataset into batches for training.

    dataset

    The input dataset to train.

    returns

    The trained model.

    Attributes
    protected
    Definition Classes
    LightGBMBase
  396. def transformSchema(schema: StructType): StructType
    Definition Classes
    Predictor → PipelineStage
  397. def transformSchema(schema: StructType, logging: Boolean): StructType
    Attributes
    protected
    Definition Classes
    PipelineStage
    Annotations
    @DeveloperApi()
  398. val tweedieVariancePower: DoubleParam
  399. val uid: String
    Definition Classes
    LightGBMRegressor → SynapseMLLogging → Identifiable
  400. val uniformDrop: BooleanParam
    Definition Classes
    LightGBMDartParams
  401. val useBarrierExecutionMode: BooleanParam
    Definition Classes
    LightGBMExecutionParams
  402. val useMissing: BooleanParam
    Definition Classes
    LightGBMDatasetParams
  403. val useSingleDatasetMode: BooleanParam
    Definition Classes
    LightGBMExecutionParams
  404. def validateAndTransformSchema(schema: StructType, fitting: Boolean, featuresDataType: DataType): StructType
    Attributes
    protected
    Definition Classes
    PredictorParams
  405. val validationIndicatorCol: Param[String]

    The name of the validation indicator column

    The name of the validation indicator column

    Definition Classes
    HasValidationIndicatorCol
  406. val verbosity: IntParam
    Definition Classes
    LightGBMParams
  407. final def wait(): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  408. final def wait(arg0: Long, arg1: Int): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  409. final def wait(arg0: Long): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... ) @native()
  410. val weightCol: Param[String]

    The name of the weight column

    The name of the weight column

    Definition Classes
    HasWeightCol
  411. def write: MLWriter
    Definition Classes
    ComplexParamsWritable → MLWritable
  412. val xGBoostDartMode: BooleanParam
    Definition Classes
    LightGBMDartParams
  413. val zeroAsMissing: BooleanParam
    Definition Classes
    LightGBMDatasetParams

Deprecated Value Members

  1. val executionMode: Param[String]
    Definition Classes
    LightGBMExecutionParams
    Annotations
    @deprecated
    Deprecated

    (Since version 0.11.1) Please use 'dataTransferMode'

  2. def setExecutionMode(value: String): LightGBMRegressor.this.type
    Definition Classes
    LightGBMExecutionParams
    Annotations
    @deprecated
    Deprecated

    (Since version 0.11.1) Please use 'setDataTransferMode'

Inherited from LightGBMBase[LightGBMRegressionModel]

Inherited from SynapseMLLogging

Inherited from LightGBMPerformance

Inherited from ComplexParamsWritable

Inherited from LightGBMParams

Inherited from LightGBMCategoricalParams

Inherited from LightGBMSeedParams

Inherited from LightGBMObjectiveParams

Inherited from LightGBMPredictionParams

Inherited from LightGBMDartParams

Inherited from LightGBMDatasetParams

Inherited from LightGBMLearnerParams

Inherited from LightGBMBinParams

Inherited from LightGBMFractionParams

Inherited from LightGBMSlotParams

Inherited from LightGBMExecutionParams

Inherited from HasInitScoreCol

Inherited from HasValidationIndicatorCol

Inherited from HasWeightCol

Inherited from DefaultParamsWritable

Inherited from MLWritable

Inherited from Wrappable

Inherited from RWrappable

Inherited from PythonWrappable

Inherited from BaseWrappable

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