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, DotnetWrappable, 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
Ordering
  1. Alphabetic
  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. DotnetWrappable
  25. RWrappable
  26. PythonWrappable
  27. BaseWrappable
  28. BaseRegressor
  29. Regressor
  30. Predictor
  31. PredictorParams
  32. HasPredictionCol
  33. HasFeaturesCol
  34. HasLabelCol
  35. Estimator
  36. PipelineStage
  37. Logging
  38. Params
  39. Serializable
  40. Serializable
  41. Identifiable
  42. AnyRef
  43. 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. def dotnetAdditionalMethods: String
    Definition Classes
    DotnetWrappable
  36. def dotnetClass(): String
    Attributes
    protected
    Definition Classes
    DotnetWrappable
  37. lazy val dotnetClassName: String
    Attributes
    protected
    Definition Classes
    DotnetWrappable
  38. lazy val dotnetClassNameString: String
    Attributes
    protected
    Definition Classes
    DotnetWrappable
  39. lazy val dotnetClassWrapperName: String
    Attributes
    protected
    Definition Classes
    DotnetWrappable
  40. lazy val dotnetCopyrightLines: String
    Attributes
    protected
    Definition Classes
    DotnetWrappable
  41. def dotnetExtraEstimatorImports: String
    Attributes
    protected
    Definition Classes
    DotnetWrappable
  42. def dotnetExtraMethods: String
    Attributes
    protected
    Definition Classes
    DotnetWrappable
  43. lazy val dotnetInternalWrapper: Boolean
    Attributes
    protected
    Definition Classes
    DotnetWrappable
  44. def dotnetMLReadWriteMethods: String
    Attributes
    protected
    Definition Classes
    DotnetWrappable
  45. lazy val dotnetNamespace: String
    Attributes
    protected
    Definition Classes
    DotnetWrappable
  46. lazy val dotnetObjectBaseClass: String
    Attributes
    protected
    Definition Classes
    DotnetWrappable
  47. def dotnetParamGetter(p: Param[_]): String
    Attributes
    protected
    Definition Classes
    DotnetWrappable
  48. def dotnetParamGetters: String
    Attributes
    protected
    Definition Classes
    DotnetWrappable
  49. def dotnetParamSetter(p: Param[_]): String
    Attributes
    protected
    Definition Classes
    DotnetWrappable
  50. def dotnetParamSetters: String
    Attributes
    protected
    Definition Classes
    DotnetWrappable
  51. def dotnetWrapAsTypeMethod: String
    Attributes
    protected
    Definition Classes
    DotnetWrappable
  52. val driverListenPort: IntParam
    Definition Classes
    LightGBMExecutionParams
  53. val dropRate: DoubleParam
    Definition Classes
    LightGBMDartParams
  54. val dropSeed: IntParam
    Definition Classes
    LightGBMSeedParams
  55. val earlyStoppingRound: IntParam
    Definition Classes
    LightGBMLearnerParams
  56. final def eq(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  57. def equals(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  58. def explainParam(param: Param[_]): String
    Definition Classes
    Params
  59. def explainParams(): String
    Definition Classes
    Params
  60. val extraSeed: IntParam
    Definition Classes
    LightGBMSeedParams
  61. final def extractParamMap(): ParamMap
    Definition Classes
    Params
  62. final def extractParamMap(extra: ParamMap): ParamMap
    Definition Classes
    Params
  63. val featureFraction: DoubleParam
    Definition Classes
    LightGBMFractionParams
  64. val featureFractionByNode: DoubleParam
    Definition Classes
    LightGBMFractionParams
  65. val featureFractionSeed: IntParam
    Definition Classes
    LightGBMSeedParams
  66. final val featuresCol: Param[String]
    Definition Classes
    HasFeaturesCol
  67. val featuresShapCol: Param[String]
    Definition Classes
    LightGBMPredictionParams
  68. def finalize(): Unit
    Attributes
    protected[lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] )
  69. def fit(dataset: Dataset[_]): LightGBMRegressionModel
    Definition Classes
    Predictor → Estimator
  70. def fit(dataset: Dataset[_], paramMaps: Seq[ParamMap]): Seq[LightGBMRegressionModel]
    Definition Classes
    Estimator
    Annotations
    @Since( "2.0.0" )
  71. def fit(dataset: Dataset[_], paramMap: ParamMap): LightGBMRegressionModel
    Definition Classes
    Estimator
    Annotations
    @Since( "2.0.0" )
  72. def fit(dataset: Dataset[_], firstParamPair: ParamPair[_], otherParamPairs: ParamPair[_]*): LightGBMRegressionModel
    Definition Classes
    Estimator
    Annotations
    @Since( "2.0.0" ) @varargs()
  73. val fobj: FObjParam
    Definition Classes
    LightGBMObjectiveParams
  74. final def get[T](param: Param[T]): Option[T]
    Definition Classes
    Params
  75. def getAllPerformanceMeasures: Option[Array[InstrumentationMeasures]]
    Definition Classes
    LightGBMPerformance
  76. def getAlpha: Double
  77. def getBaggingFraction: Double
    Definition Classes
    LightGBMFractionParams
  78. def getBaggingFreq: Int
    Definition Classes
    LightGBMParams
  79. def getBaggingSeed: Int
    Definition Classes
    LightGBMSeedParams
  80. def getBinSampleCount: Int
    Definition Classes
    LightGBMBinParams
  81. def getBoostFromAverage: Boolean
    Definition Classes
    LightGBMParams
  82. def getBoostingType: String
    Definition Classes
    LightGBMParams
  83. def getCatSmooth: Double
    Definition Classes
    LightGBMCategoricalParams
  84. 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
  85. 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
  86. def getCategoricalSlotIndexes: Array[Int]
    Definition Classes
    LightGBMSlotParams
  87. def getCategoricalSlotNames: Array[String]
    Definition Classes
    LightGBMSlotParams
  88. def getCatl2: Double
    Definition Classes
    LightGBMCategoricalParams
  89. def getChunkSize: Int
    Definition Classes
    LightGBMExecutionParams
  90. final def getClass(): Class[_]
    Definition Classes
    AnyRef → Any
    Annotations
    @native()
  91. def getColumnParams: ColumnParams

    Constructs the ColumnParams.

    Constructs the ColumnParams.

    returns

    ColumnParams object containing the parameters related to LightGBM columns.

    Attributes
    protected
    Definition Classes
    LightGBMBase
  92. def getDartParams: DartModeParams

    Constructs the DartModeParams

    Constructs the DartModeParams

    returns

    DartModeParams object containing parameters related to dart mode.

    Attributes
    protected
    Definition Classes
    LightGBMBase
  93. def getDataRandomSeed: Int
    Definition Classes
    LightGBMSeedParams
  94. def getDataTransferMode: String
    Definition Classes
    LightGBMExecutionParams
  95. def getDatasetCreationParams(categoricalIndexes: Array[Int], numThreads: Int): String
    Attributes
    protected
    Definition Classes
    LightGBMBase
  96. def getDatasetParams: DatasetParams

    Constructs the DatasetParams.

    Constructs the DatasetParams.

    returns

    DatasetParams object containing parameters related to LightGBM Dataset parameters.

    Attributes
    protected
    Definition Classes
    LightGBMBase
  97. final def getDefault[T](param: Param[T]): Option[T]
    Definition Classes
    Params
  98. def getDefaultListenPort: Int
    Definition Classes
    LightGBMExecutionParams
  99. def getDelegate: Option[LightGBMDelegate]
    Definition Classes
    LightGBMParams
  100. def getDeterministic: Boolean
    Definition Classes
    LightGBMSeedParams
  101. def getDriverListenPort: Int
    Definition Classes
    LightGBMExecutionParams
  102. def getDropRate: Double
    Definition Classes
    LightGBMDartParams
  103. def getDropSeed: Int
    Definition Classes
    LightGBMSeedParams
  104. def getEarlyStoppingRound: Int
    Definition Classes
    LightGBMLearnerParams
  105. 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
  106. def getExtraSeed: Int
    Definition Classes
    LightGBMSeedParams
  107. def getFObj: FObjTrait
    Definition Classes
    LightGBMObjectiveParams
  108. def getFeatureFraction: Double
    Definition Classes
    LightGBMFractionParams
  109. def getFeatureFractionByNode: Double
    Definition Classes
    LightGBMFractionParams
  110. def getFeatureFractionSeed: Int
    Definition Classes
    LightGBMSeedParams
  111. final def getFeaturesCol: String
    Definition Classes
    HasFeaturesCol
  112. def getFeaturesShapCol: String
    Definition Classes
    LightGBMPredictionParams
  113. 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
  114. def getImprovementTolerance: Double
    Definition Classes
    LightGBMLearnerParams
  115. def getInitScoreCol: String

    Definition Classes
    HasInitScoreCol
  116. def getIsEnableSparse: Boolean
    Definition Classes
    LightGBMDatasetParams
  117. def getIsProvideTrainingMetric: Boolean
    Definition Classes
    LightGBMParams
  118. final def getLabelCol: String
    Definition Classes
    HasLabelCol
  119. def getLambdaL1: Double
    Definition Classes
    LightGBMParams
  120. def getLambdaL2: Double
    Definition Classes
    LightGBMParams
  121. def getLeafPredictionCol: String
    Definition Classes
    LightGBMPredictionParams
  122. def getLearningRate: Double
    Definition Classes
    LightGBMParams
  123. def getMatrixType: String
    Definition Classes
    LightGBMExecutionParams
  124. def getMaxBin: Int
    Definition Classes
    LightGBMBinParams
  125. def getMaxBinByFeature: Array[Int]
    Definition Classes
    LightGBMParams
  126. def getMaxCatThreshold: Int
    Definition Classes
    LightGBMCategoricalParams
  127. def getMaxCatToOnehot: Int
    Definition Classes
    LightGBMCategoricalParams
  128. def getMaxDeltaStep: Double
    Definition Classes
    LightGBMParams
  129. def getMaxDepth: Int
    Definition Classes
    LightGBMParams
  130. def getMaxDrop: Int
    Definition Classes
    LightGBMDartParams
  131. def getMaxNumClasses: Int
    Definition Classes
    LightGBMParams
  132. def getMaxStreamingOMPThreads: Int
    Definition Classes
    LightGBMExecutionParams
  133. def getMetric: String
    Definition Classes
    LightGBMParams
  134. def getMicroBatchSize: Int
    Definition Classes
    LightGBMExecutionParams
  135. def getMinDataInLeaf: Int
    Definition Classes
    LightGBMParams
  136. def getMinDataPerBin: Int
    Definition Classes
    LightGBMParams
  137. def getMinDataPerGroup: Int
    Definition Classes
    LightGBMCategoricalParams
  138. def getMinGainToSplit: Double
    Definition Classes
    LightGBMParams
  139. def getMinSumHessianInLeaf: Double
    Definition Classes
    LightGBMParams
  140. 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
  141. def getModelString: String
    Definition Classes
    LightGBMParams
  142. def getMonotoneConstraints: Array[Int]
    Definition Classes
    LightGBMLearnerParams
  143. def getMonotoneConstraintsMethod: String
    Definition Classes
    LightGBMLearnerParams
  144. def getMonotonePenalty: Double
    Definition Classes
    LightGBMLearnerParams
  145. def getNegBaggingFraction: Double
    Definition Classes
    LightGBMFractionParams
  146. def getNumBatches: Int
    Definition Classes
    LightGBMExecutionParams
  147. def getNumIterations: Int
    Definition Classes
    LightGBMParams
  148. def getNumLeaves: Int
    Definition Classes
    LightGBMParams
  149. def getNumTasks: Int
    Definition Classes
    LightGBMExecutionParams
  150. def getNumThreads: Int
    Definition Classes
    LightGBMExecutionParams
  151. def getObjective: String
    Definition Classes
    LightGBMObjectiveParams
  152. def getObjectiveParams: ObjectiveParams

    Constructs the ObjectiveParams.

    Constructs the ObjectiveParams.

    returns

    ObjectiveParams object containing parameters related to the objective function.

    Attributes
    protected
    Definition Classes
    LightGBMBase
  153. def getObjectiveSeed: Int
    Definition Classes
    LightGBMSeedParams
  154. 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
  155. final def getOrDefault[T](param: Param[T]): T
    Definition Classes
    Params
  156. def getOtherRate: Double
    Definition Classes
    LightGBMLearnerParams
  157. def getParallelism: String
    Definition Classes
    LightGBMExecutionParams
  158. def getParam(paramName: String): Param[Any]
    Definition Classes
    Params
  159. def getParamInfo(p: Param[_]): ParamInfo[_]
    Definition Classes
    BaseWrappable
  160. def getPassThroughArgs: String
    Definition Classes
    LightGBMExecutionParams
  161. def getPayload(methodName: String, numCols: Option[Int], executionSeconds: Option[Double], exception: Option[Exception]): Map[String, String]
    Attributes
    protected
    Definition Classes
    SynapseMLLogging
  162. 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
  163. def getPosBaggingFraction: Double
    Definition Classes
    LightGBMFractionParams
  164. def getPredictDisableShapeCheck: Boolean
    Definition Classes
    LightGBMPredictionParams
  165. final def getPredictionCol: String
    Definition Classes
    HasPredictionCol
  166. def getReferenceDataset: Array[Byte]
    Definition Classes
    LightGBMExecutionParams
  167. def getRepartitionByGroupingColumn: Boolean
    Definition Classes
    LightGBMExecutionParams
  168. def getSamplingMode: String
    Definition Classes
    LightGBMExecutionParams
  169. def getSamplingSubsetSize: Int
    Definition Classes
    LightGBMExecutionParams
  170. def getSeed: Int
    Definition Classes
    LightGBMSeedParams
  171. 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
  172. def getSkipDrop: Double
    Definition Classes
    LightGBMDartParams
  173. def getSlotNames: Array[String]
    Definition Classes
    LightGBMSlotParams
  174. def getTimeout: Double
    Definition Classes
    LightGBMExecutionParams
  175. def getTopK: Int
    Definition Classes
    LightGBMExecutionParams
  176. def getTopRate: Double
    Definition Classes
    LightGBMLearnerParams
  177. 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
  178. def getTrainingCols: Array[(String, Seq[DataType])]
    Attributes
    protected
    Definition Classes
    LightGBMBase
  179. def getTweedieVariancePower: Double
  180. def getUniformDrop: Boolean
    Definition Classes
    LightGBMDartParams
  181. def getUseBarrierExecutionMode: Boolean
    Definition Classes
    LightGBMExecutionParams
  182. def getUseMissing: Boolean
    Definition Classes
    LightGBMDatasetParams
  183. def getUseSingleDatasetMode: Boolean
    Definition Classes
    LightGBMExecutionParams
  184. def getValidationIndicatorCol: String

    Definition Classes
    HasValidationIndicatorCol
  185. def getVerbosity: Int
    Definition Classes
    LightGBMParams
  186. def getWeightCol: String

    Definition Classes
    HasWeightCol
  187. def getXGBoostDartMode: Boolean
    Definition Classes
    LightGBMDartParams
  188. def getZeroAsMissing: Boolean
    Definition Classes
    LightGBMDatasetParams
  189. final def hasDefault[T](param: Param[T]): Boolean
    Definition Classes
    Params
  190. def hasParam(paramName: String): Boolean
    Definition Classes
    Params
  191. def hashCode(): Int
    Definition Classes
    AnyRef → Any
    Annotations
    @native()
  192. val improvementTolerance: DoubleParam
    Definition Classes
    LightGBMLearnerParams
  193. def initPerformanceMeasures(batchCount: Int): Unit
    Attributes
    protected
    Definition Classes
    LightGBMPerformance
  194. val initScoreCol: Param[String]

    The name of the initial score column

    The name of the initial score column

    Definition Classes
    HasInitScoreCol
  195. def initializeLogIfNecessary(isInterpreter: Boolean, silent: Boolean): Boolean
    Attributes
    protected
    Definition Classes
    Logging
  196. def initializeLogIfNecessary(isInterpreter: Boolean): Unit
    Attributes
    protected
    Definition Classes
    Logging
  197. final def isDefined(param: Param[_]): Boolean
    Definition Classes
    Params
  198. val isEnableSparse: BooleanParam
    Definition Classes
    LightGBMDatasetParams
  199. final def isInstanceOf[T0]: Boolean
    Definition Classes
    Any
  200. val isProvideTrainingMetric: BooleanParam
    Definition Classes
    LightGBMParams
  201. final def isSet(param: Param[_]): Boolean
    Definition Classes
    Params
  202. def isTraceEnabled(): Boolean
    Attributes
    protected
    Definition Classes
    Logging
  203. final val labelCol: Param[String]
    Definition Classes
    HasLabelCol
  204. val lambdaL1: DoubleParam
    Definition Classes
    LightGBMParams
  205. val lambdaL2: DoubleParam
    Definition Classes
    LightGBMParams
  206. val leafPredictionCol: Param[String]
    Definition Classes
    LightGBMPredictionParams
  207. val learningRate: DoubleParam
    Definition Classes
    LightGBMParams
  208. def log: Logger
    Attributes
    protected
    Definition Classes
    Logging
  209. def logBase(info: Map[String, String], featureName: Option[String]): Unit
    Attributes
    protected
    Definition Classes
    SynapseMLLogging
  210. def logBase(methodName: String, numCols: Option[Int], executionSeconds: Option[Double], featureName: Option[String]): Unit
    Attributes
    protected
    Definition Classes
    SynapseMLLogging
  211. def logClass(featureName: String): Unit
    Definition Classes
    SynapseMLLogging
  212. def logDebug(msg: ⇒ String, throwable: Throwable): Unit
    Attributes
    protected
    Definition Classes
    Logging
  213. def logDebug(msg: ⇒ String): Unit
    Attributes
    protected
    Definition Classes
    Logging
  214. def logError(msg: ⇒ String, throwable: Throwable): Unit
    Attributes
    protected
    Definition Classes
    Logging
  215. def logError(msg: ⇒ String): Unit
    Attributes
    protected
    Definition Classes
    Logging
  216. def logErrorBase(methodName: String, e: Exception): Unit
    Attributes
    protected
    Definition Classes
    SynapseMLLogging
  217. def logFit[T](f: ⇒ T, columns: Int): T
    Definition Classes
    SynapseMLLogging
  218. def logInfo(msg: ⇒ String, throwable: Throwable): Unit
    Attributes
    protected
    Definition Classes
    Logging
  219. def logInfo(msg: ⇒ String): Unit
    Attributes
    protected
    Definition Classes
    Logging
  220. def logName: String
    Attributes
    protected
    Definition Classes
    Logging
  221. def logTrace(msg: ⇒ String, throwable: Throwable): Unit
    Attributes
    protected
    Definition Classes
    Logging
  222. def logTrace(msg: ⇒ String): Unit
    Attributes
    protected
    Definition Classes
    Logging
  223. def logTransform[T](f: ⇒ T, columns: Int): T
    Definition Classes
    SynapseMLLogging
  224. def logVerb[T](verb: String, f: ⇒ T, columns: Option[Int] = None): T
    Definition Classes
    SynapseMLLogging
  225. def logWarning(msg: ⇒ String, throwable: Throwable): Unit
    Attributes
    protected
    Definition Classes
    Logging
  226. def logWarning(msg: ⇒ String): Unit
    Attributes
    protected
    Definition Classes
    Logging
  227. def makeDotnetFile(conf: CodegenConfig): Unit
    Definition Classes
    DotnetWrappable
  228. def makePyFile(conf: CodegenConfig): Unit
    Definition Classes
    PythonWrappable
  229. def makeRFile(conf: CodegenConfig): Unit
    Definition Classes
    RWrappable
  230. val matrixType: Param[String]
    Definition Classes
    LightGBMExecutionParams
  231. val maxBin: IntParam
    Definition Classes
    LightGBMBinParams
  232. val maxBinByFeature: IntArrayParam
    Definition Classes
    LightGBMParams
  233. val maxCatThreshold: IntParam
    Definition Classes
    LightGBMCategoricalParams
  234. val maxCatToOnehot: IntParam
    Definition Classes
    LightGBMCategoricalParams
  235. val maxDeltaStep: DoubleParam
    Definition Classes
    LightGBMParams
  236. val maxDepth: IntParam
    Definition Classes
    LightGBMParams
  237. val maxDrop: IntParam
    Definition Classes
    LightGBMDartParams
  238. val maxNumClasses: IntParam
    Definition Classes
    LightGBMParams
  239. val maxStreamingOMPThreads: IntParam
    Definition Classes
    LightGBMExecutionParams
  240. val metric: Param[String]
    Definition Classes
    LightGBMParams
  241. val microBatchSize: IntParam
    Definition Classes
    LightGBMExecutionParams
  242. val minDataInLeaf: IntParam
    Definition Classes
    LightGBMParams
  243. val minDataPerBin: IntParam
    Definition Classes
    LightGBMParams
  244. val minDataPerGroup: IntParam
    Definition Classes
    LightGBMCategoricalParams
  245. val minGainToSplit: DoubleParam
    Definition Classes
    LightGBMParams
  246. val minSumHessianInLeaf: DoubleParam
    Definition Classes
    LightGBMParams
  247. val modelString: Param[String]
    Definition Classes
    LightGBMParams
  248. val monotoneConstraints: IntArrayParam
    Definition Classes
    LightGBMLearnerParams
  249. val monotoneConstraintsMethod: Param[String]
    Definition Classes
    LightGBMLearnerParams
  250. val monotonePenalty: DoubleParam
    Definition Classes
    LightGBMLearnerParams
  251. final def ne(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  252. val negBaggingFraction: DoubleParam
    Definition Classes
    LightGBMFractionParams
  253. final def notify(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native()
  254. final def notifyAll(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native()
  255. val numBatches: IntParam
    Definition Classes
    LightGBMExecutionParams
  256. val numIterations: IntParam
    Definition Classes
    LightGBMParams
  257. val numLeaves: IntParam
    Definition Classes
    LightGBMParams
  258. val numTasks: IntParam
    Definition Classes
    LightGBMExecutionParams
  259. val numThreads: IntParam
    Definition Classes
    LightGBMExecutionParams
  260. val objective: Param[String]
    Definition Classes
    LightGBMObjectiveParams
  261. val objectiveSeed: IntParam
    Definition Classes
    LightGBMSeedParams
  262. val otherRate: DoubleParam
    Definition Classes
    LightGBMLearnerParams
  263. val parallelism: Param[String]
    Definition Classes
    LightGBMExecutionParams
  264. lazy val params: Array[Param[_]]
    Definition Classes
    Params
  265. val passThroughArgs: Param[String]
    Definition Classes
    LightGBMExecutionParams
  266. val posBaggingFraction: DoubleParam
    Definition Classes
    LightGBMFractionParams
  267. val predictDisableShapeCheck: BooleanParam
    Definition Classes
    LightGBMPredictionParams
  268. final val predictionCol: Param[String]
    Definition Classes
    HasPredictionCol
  269. def prepareDataframe(dataset: Dataset[_], numTasks: Int): DataFrame
    Attributes
    protected
    Definition Classes
    LightGBMBase
  270. 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
  271. def pyAdditionalMethods: String
    Definition Classes
    PythonWrappable
  272. lazy val pyClassDoc: String
    Attributes
    protected
    Definition Classes
    PythonWrappable
  273. lazy val pyClassName: String
    Attributes
    protected
    Definition Classes
    PythonWrappable
  274. def pyExtraEstimatorImports: String
    Attributes
    protected
    Definition Classes
    PythonWrappable
  275. def pyExtraEstimatorMethods: String
    Attributes
    protected
    Definition Classes
    PythonWrappable
  276. lazy val pyInheritedClasses: Seq[String]
    Attributes
    protected
    Definition Classes
    PythonWrappable
  277. def pyInitFunc(): String
    Definition Classes
    PythonWrappable
  278. lazy val pyInternalWrapper: Boolean
    Attributes
    protected
    Definition Classes
    PythonWrappable
  279. lazy val pyObjectBaseClass: String
    Attributes
    protected
    Definition Classes
    PythonWrappable
  280. def pyParamArg[T](p: Param[T]): String
    Attributes
    protected
    Definition Classes
    PythonWrappable
  281. def pyParamDefault[T](p: Param[T]): Option[String]
    Attributes
    protected
    Definition Classes
    PythonWrappable
  282. def pyParamGetter(p: Param[_]): String
    Attributes
    protected
    Definition Classes
    PythonWrappable
  283. def pyParamSetter(p: Param[_]): String
    Attributes
    protected
    Definition Classes
    PythonWrappable
  284. def pyParamsArgs: String
    Attributes
    protected
    Definition Classes
    PythonWrappable
  285. def pyParamsDefaults: String
    Attributes
    protected
    Definition Classes
    PythonWrappable
  286. lazy val pyParamsDefinitions: String
    Attributes
    protected
    Definition Classes
    PythonWrappable
  287. def pyParamsGetters: String
    Attributes
    protected
    Definition Classes
    PythonWrappable
  288. def pyParamsSetters: String
    Attributes
    protected
    Definition Classes
    PythonWrappable
  289. def pythonClass(): String
    Attributes
    protected
    Definition Classes
    PythonWrappable
  290. def rClass(): String
    Attributes
    protected
    Definition Classes
    RWrappable
  291. def rDocString: String
    Attributes
    protected
    Definition Classes
    RWrappable
  292. def rExtraBodyLines: String
    Attributes
    protected
    Definition Classes
    RWrappable
  293. def rExtraInitLines: String
    Attributes
    protected
    Definition Classes
    RWrappable
  294. lazy val rFuncName: String
    Attributes
    protected
    Definition Classes
    RWrappable
  295. lazy val rInternalWrapper: Boolean
    Attributes
    protected
    Definition Classes
    RWrappable
  296. def rParamArg[T](p: Param[T]): String
    Attributes
    protected
    Definition Classes
    RWrappable
  297. def rParamsArgs: String
    Attributes
    protected
    Definition Classes
    RWrappable
  298. def rSetterLines: String
    Attributes
    protected
    Definition Classes
    RWrappable
  299. val referenceDataset: ByteArrayParam
    Definition Classes
    LightGBMExecutionParams
  300. val repartitionByGroupingColumn: BooleanParam
    Definition Classes
    LightGBMExecutionParams
  301. val samplingMode: Param[String]
    Definition Classes
    LightGBMExecutionParams
  302. val samplingSubsetSize: IntParam
    Definition Classes
    LightGBMExecutionParams
  303. def save(path: String): Unit
    Definition Classes
    MLWritable
    Annotations
    @Since( "1.6.0" ) @throws( ... )
  304. val seed: IntParam
    Definition Classes
    LightGBMSeedParams
  305. final def set(paramPair: ParamPair[_]): LightGBMRegressor.this.type
    Attributes
    protected
    Definition Classes
    Params
  306. final def set(param: String, value: Any): LightGBMRegressor.this.type
    Attributes
    protected
    Definition Classes
    Params
  307. final def set[T](param: Param[T], value: T): LightGBMRegressor.this.type
    Definition Classes
    Params
  308. def setAlpha(value: Double): LightGBMRegressor.this.type
  309. def setBaggingFraction(value: Double): LightGBMRegressor.this.type
    Definition Classes
    LightGBMFractionParams
  310. def setBaggingFreq(value: Int): LightGBMRegressor.this.type
    Definition Classes
    LightGBMParams
  311. def setBaggingSeed(value: Int): LightGBMRegressor.this.type
    Definition Classes
    LightGBMSeedParams
  312. def setBatchPerformanceMeasure(index: Int, measures: InstrumentationMeasures): Unit
    Attributes
    protected
    Definition Classes
    LightGBMPerformance
  313. def setBatchPerformanceMeasures(measures: Array[Option[InstrumentationMeasures]]): LightGBMRegressor.this.type
    Attributes
    protected
    Definition Classes
    LightGBMPerformance
  314. def setBinSampleCount(value: Int): LightGBMRegressor.this.type
    Definition Classes
    LightGBMBinParams
  315. def setBoostFromAverage(value: Boolean): LightGBMRegressor.this.type
    Definition Classes
    LightGBMParams
  316. def setBoostingType(value: String): LightGBMRegressor.this.type
    Definition Classes
    LightGBMParams
  317. def setCatSmooth(value: Double): LightGBMRegressor.this.type
    Definition Classes
    LightGBMCategoricalParams
  318. def setCategoricalSlotIndexes(value: Array[Int]): LightGBMRegressor.this.type
    Definition Classes
    LightGBMSlotParams
  319. def setCategoricalSlotNames(value: Array[String]): LightGBMRegressor.this.type
    Definition Classes
    LightGBMSlotParams
  320. def setCatl2(value: Double): LightGBMRegressor.this.type
    Definition Classes
    LightGBMCategoricalParams
  321. def setChunkSize(value: Int): LightGBMRegressor.this.type
    Definition Classes
    LightGBMExecutionParams
  322. def setDataRandomSeed(value: Int): LightGBMRegressor.this.type
    Definition Classes
    LightGBMSeedParams
  323. def setDataTransferMode(value: String): LightGBMRegressor.this.type
    Definition Classes
    LightGBMExecutionParams
  324. final def setDefault(paramPairs: ParamPair[_]*): LightGBMRegressor.this.type
    Attributes
    protected
    Definition Classes
    Params
  325. final def setDefault[T](param: Param[T], value: T): LightGBMRegressor.this.type
    Attributes
    protected[org.apache.spark.ml]
    Definition Classes
    Params
  326. def setDefaultListenPort(value: Int): LightGBMRegressor.this.type
    Definition Classes
    LightGBMExecutionParams
  327. def setDelegate(delegate: LightGBMDelegate): LightGBMRegressor.this.type
    Definition Classes
    LightGBMParams
  328. def setDeterministic(value: Boolean): LightGBMRegressor.this.type
    Definition Classes
    LightGBMSeedParams
  329. def setDriverListenPort(value: Int): LightGBMRegressor.this.type
    Definition Classes
    LightGBMExecutionParams
  330. def setDropRate(value: Double): LightGBMRegressor.this.type
    Definition Classes
    LightGBMDartParams
  331. def setDropSeed(value: Int): LightGBMRegressor.this.type
    Definition Classes
    LightGBMSeedParams
  332. def setEarlyStoppingRound(value: Int): LightGBMRegressor.this.type
    Definition Classes
    LightGBMLearnerParams
  333. def setExtraSeed(value: Int): LightGBMRegressor.this.type
    Definition Classes
    LightGBMSeedParams
  334. def setFObj(value: FObjTrait): LightGBMRegressor.this.type
    Definition Classes
    LightGBMObjectiveParams
  335. def setFeatureFraction(value: Double): LightGBMRegressor.this.type
    Definition Classes
    LightGBMFractionParams
  336. def setFeatureFractionByNode(value: Double): LightGBMRegressor.this.type
    Definition Classes
    LightGBMFractionParams
  337. def setFeatureFractionSeed(value: Int): LightGBMRegressor.this.type
    Definition Classes
    LightGBMSeedParams
  338. def setFeaturesCol(value: String): LightGBMRegressor
    Definition Classes
    Predictor
  339. def setFeaturesShapCol(value: String): LightGBMRegressor.this.type
    Definition Classes
    LightGBMPredictionParams
  340. def setImprovementTolerance(value: Double): LightGBMRegressor.this.type
    Definition Classes
    LightGBMLearnerParams
  341. def setInitScoreCol(value: String): LightGBMRegressor.this.type

    Definition Classes
    HasInitScoreCol
  342. def setIsEnableSparse(value: Boolean): LightGBMRegressor.this.type
    Definition Classes
    LightGBMDatasetParams
  343. def setIsProvideTrainingMetric(value: Boolean): LightGBMRegressor.this.type
    Definition Classes
    LightGBMParams
  344. def setLabelCol(value: String): LightGBMRegressor
    Definition Classes
    Predictor
  345. def setLambdaL1(value: Double): LightGBMRegressor.this.type
    Definition Classes
    LightGBMParams
  346. def setLambdaL2(value: Double): LightGBMRegressor.this.type
    Definition Classes
    LightGBMParams
  347. def setLeafPredictionCol(value: String): LightGBMRegressor.this.type
    Definition Classes
    LightGBMPredictionParams
  348. def setLearningRate(value: Double): LightGBMRegressor.this.type
    Definition Classes
    LightGBMParams
  349. def setMatrixType(value: String): LightGBMRegressor.this.type
    Definition Classes
    LightGBMExecutionParams
  350. def setMaxBin(value: Int): LightGBMRegressor.this.type
    Definition Classes
    LightGBMBinParams
  351. def setMaxBinByFeature(value: Array[Int]): LightGBMRegressor.this.type
    Definition Classes
    LightGBMParams
  352. def setMaxCatThreshold(value: Int): LightGBMRegressor.this.type
    Definition Classes
    LightGBMCategoricalParams
  353. def setMaxCatToOnehot(value: Int): LightGBMRegressor.this.type
    Definition Classes
    LightGBMCategoricalParams
  354. def setMaxDeltaStep(value: Double): LightGBMRegressor.this.type
    Definition Classes
    LightGBMParams
  355. def setMaxDepth(value: Int): LightGBMRegressor.this.type
    Definition Classes
    LightGBMParams
  356. def setMaxDrop(value: Int): LightGBMRegressor.this.type
    Definition Classes
    LightGBMDartParams
  357. def setMaxNumClasses(value: Int): LightGBMRegressor.this.type
    Definition Classes
    LightGBMParams
  358. def setMaxStreamingOMPThreads(value: Int): LightGBMRegressor.this.type
    Definition Classes
    LightGBMExecutionParams
  359. def setMetric(value: String): LightGBMRegressor.this.type
    Definition Classes
    LightGBMParams
  360. def setMicroBatchSize(value: Int): LightGBMRegressor.this.type
    Definition Classes
    LightGBMExecutionParams
  361. def setMinDataInLeaf(value: Int): LightGBMRegressor.this.type
    Definition Classes
    LightGBMParams
  362. def setMinDataPerBin(value: Int): LightGBMRegressor.this.type
    Definition Classes
    LightGBMParams
  363. def setMinDataPerGroup(value: Int): LightGBMRegressor.this.type
    Definition Classes
    LightGBMCategoricalParams
  364. def setMinGainToSplit(value: Double): LightGBMRegressor.this.type
    Definition Classes
    LightGBMParams
  365. def setMinSumHessianInLeaf(value: Double): LightGBMRegressor.this.type
    Definition Classes
    LightGBMParams
  366. def setModelString(value: String): LightGBMRegressor.this.type
    Definition Classes
    LightGBMParams
  367. def setMonotoneConstraints(value: Array[Int]): LightGBMRegressor.this.type
    Definition Classes
    LightGBMLearnerParams
  368. def setMonotoneConstraintsMethod(value: String): LightGBMRegressor.this.type
    Definition Classes
    LightGBMLearnerParams
  369. def setMonotonePenalty(value: Double): LightGBMRegressor.this.type
    Definition Classes
    LightGBMLearnerParams
  370. def setNegBaggingFraction(value: Double): LightGBMRegressor.this.type
    Definition Classes
    LightGBMFractionParams
  371. def setNumBatches(value: Int): LightGBMRegressor.this.type
    Definition Classes
    LightGBMExecutionParams
  372. def setNumIterations(value: Int): LightGBMRegressor.this.type
    Definition Classes
    LightGBMParams
  373. def setNumLeaves(value: Int): LightGBMRegressor.this.type
    Definition Classes
    LightGBMParams
  374. def setNumTasks(value: Int): LightGBMRegressor.this.type
    Definition Classes
    LightGBMExecutionParams
  375. def setNumThreads(value: Int): LightGBMRegressor.this.type
    Definition Classes
    LightGBMExecutionParams
  376. def setObjective(value: String): LightGBMRegressor.this.type
    Definition Classes
    LightGBMObjectiveParams
  377. def setObjectiveSeed(value: Int): LightGBMRegressor.this.type
    Definition Classes
    LightGBMSeedParams
  378. def setOtherRate(value: Double): LightGBMRegressor.this.type
    Definition Classes
    LightGBMLearnerParams
  379. def setParallelism(value: String): LightGBMRegressor.this.type
    Definition Classes
    LightGBMExecutionParams
  380. def setPassThroughArgs(value: String): LightGBMRegressor.this.type
    Definition Classes
    LightGBMExecutionParams
  381. def setPosBaggingFraction(value: Double): LightGBMRegressor.this.type
    Definition Classes
    LightGBMFractionParams
  382. def setPredictDisableShapeCheck(value: Boolean): LightGBMRegressor.this.type
    Definition Classes
    LightGBMPredictionParams
  383. def setPredictionCol(value: String): LightGBMRegressor
    Definition Classes
    Predictor
  384. def setReferenceDataset(value: Array[Byte]): LightGBMRegressor.this.type
    Definition Classes
    LightGBMExecutionParams
  385. def setRepartitionByGroupingColumn(value: Boolean): LightGBMRegressor.this.type
    Definition Classes
    LightGBMExecutionParams
  386. def setSamplingMode(value: String): LightGBMRegressor.this.type
    Definition Classes
    LightGBMExecutionParams
  387. def setSamplingSubsetSize(value: Int): LightGBMRegressor.this.type
    Definition Classes
    LightGBMExecutionParams
  388. def setSeed(value: Int): LightGBMRegressor.this.type
    Definition Classes
    LightGBMSeedParams
  389. def setSkipDrop(value: Double): LightGBMRegressor.this.type
    Definition Classes
    LightGBMDartParams
  390. def setSlotNames(value: Array[String]): LightGBMRegressor.this.type
    Definition Classes
    LightGBMSlotParams
  391. def setTimeout(value: Double): LightGBMRegressor.this.type
    Definition Classes
    LightGBMExecutionParams
  392. def setTopK(value: Int): LightGBMRegressor.this.type
    Definition Classes
    LightGBMExecutionParams
  393. def setTopRate(value: Double): LightGBMRegressor.this.type
    Definition Classes
    LightGBMLearnerParams
  394. def setTweedieVariancePower(value: Double): LightGBMRegressor.this.type
  395. def setUniformDrop(value: Boolean): LightGBMRegressor.this.type
    Definition Classes
    LightGBMDartParams
  396. def setUseBarrierExecutionMode(value: Boolean): LightGBMRegressor.this.type
    Definition Classes
    LightGBMExecutionParams
  397. def setUseMissing(value: Boolean): LightGBMRegressor.this.type
    Definition Classes
    LightGBMDatasetParams
  398. def setUseSingleDatasetMode(value: Boolean): LightGBMRegressor.this.type
    Definition Classes
    LightGBMExecutionParams
  399. def setValidationIndicatorCol(value: String): LightGBMRegressor.this.type

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

    Definition Classes
    HasWeightCol
  402. def setXGBoostDartMode(value: Boolean): LightGBMRegressor.this.type
    Definition Classes
    LightGBMDartParams
  403. def setZeroAsMissing(value: Boolean): LightGBMRegressor.this.type
    Definition Classes
    LightGBMDatasetParams
  404. val skipDrop: DoubleParam
    Definition Classes
    LightGBMDartParams
  405. val slotNames: StringArrayParam
    Definition Classes
    LightGBMSlotParams
  406. def stringFromTrainedModel(model: LightGBMRegressionModel): String
    Definition Classes
    LightGBMRegressor → LightGBMBase
  407. final def synchronized[T0](arg0: ⇒ T0): T0
    Definition Classes
    AnyRef
  408. val thisStage: Params
    Attributes
    protected
    Definition Classes
    BaseWrappable
  409. val timeout: DoubleParam
    Definition Classes
    LightGBMExecutionParams
  410. def toString(): String
    Definition Classes
    Identifiable → AnyRef → Any
  411. val topK: IntParam
    Definition Classes
    LightGBMExecutionParams
  412. val topRate: DoubleParam
    Definition Classes
    LightGBMLearnerParams
  413. 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
  414. def transformSchema(schema: StructType): StructType
    Definition Classes
    Predictor → PipelineStage
  415. def transformSchema(schema: StructType, logging: Boolean): StructType
    Attributes
    protected
    Definition Classes
    PipelineStage
    Annotations
    @DeveloperApi()
  416. val tweedieVariancePower: DoubleParam
  417. val uid: String
    Definition Classes
    LightGBMRegressor → SynapseMLLogging → Identifiable
  418. val uniformDrop: BooleanParam
    Definition Classes
    LightGBMDartParams
  419. val useBarrierExecutionMode: BooleanParam
    Definition Classes
    LightGBMExecutionParams
  420. val useMissing: BooleanParam
    Definition Classes
    LightGBMDatasetParams
  421. val useSingleDatasetMode: BooleanParam
    Definition Classes
    LightGBMExecutionParams
  422. def validateAndTransformSchema(schema: StructType, fitting: Boolean, featuresDataType: DataType): StructType
    Attributes
    protected
    Definition Classes
    PredictorParams
  423. val validationIndicatorCol: Param[String]

    The name of the validation indicator column

    The name of the validation indicator column

    Definition Classes
    HasValidationIndicatorCol
  424. val verbosity: IntParam
    Definition Classes
    LightGBMParams
  425. final def wait(): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  426. final def wait(arg0: Long, arg1: Int): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  427. final def wait(arg0: Long): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... ) @native()
  428. val weightCol: Param[String]

    The name of the weight column

    The name of the weight column

    Definition Classes
    HasWeightCol
  429. def write: MLWriter
    Definition Classes
    ComplexParamsWritable → MLWritable
  430. val xGBoostDartMode: BooleanParam
    Definition Classes
    LightGBMDartParams
  431. 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 DotnetWrappable

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