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
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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. 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. def extractInstances(dataset: Dataset[_], validateInstance: (Instance) ⇒ Unit): RDD[Instance]
    Attributes
    protected
    Definition Classes
    PredictorParams
  62. def extractInstances(dataset: Dataset[_]): RDD[Instance]
    Attributes
    protected
    Definition Classes
    PredictorParams
  63. def extractLabeledPoints(dataset: Dataset[_]): RDD[LabeledPoint]
    Attributes
    protected
    Definition Classes
    Predictor
  64. final def extractParamMap(): ParamMap
    Definition Classes
    Params
  65. final def extractParamMap(extra: ParamMap): ParamMap
    Definition Classes
    Params
  66. val featureFraction: DoubleParam
    Definition Classes
    LightGBMFractionParams
  67. val featureFractionByNode: DoubleParam
    Definition Classes
    LightGBMFractionParams
  68. val featureFractionSeed: IntParam
    Definition Classes
    LightGBMSeedParams
  69. final val featuresCol: Param[String]
    Definition Classes
    HasFeaturesCol
  70. val featuresShapCol: Param[String]
    Definition Classes
    LightGBMPredictionParams
  71. def finalize(): Unit
    Attributes
    protected[lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] )
  72. def fit(dataset: Dataset[_]): LightGBMRegressionModel
    Definition Classes
    Predictor → Estimator
  73. def fit(dataset: Dataset[_], paramMaps: Seq[ParamMap]): Seq[LightGBMRegressionModel]
    Definition Classes
    Estimator
    Annotations
    @Since( "2.0.0" )
  74. def fit(dataset: Dataset[_], paramMap: ParamMap): LightGBMRegressionModel
    Definition Classes
    Estimator
    Annotations
    @Since( "2.0.0" )
  75. def fit(dataset: Dataset[_], firstParamPair: ParamPair[_], otherParamPairs: ParamPair[_]*): LightGBMRegressionModel
    Definition Classes
    Estimator
    Annotations
    @Since( "2.0.0" ) @varargs()
  76. val fobj: FObjParam
    Definition Classes
    LightGBMObjectiveParams
  77. final def get[T](param: Param[T]): Option[T]
    Definition Classes
    Params
  78. def getAllPerformanceMeasures: Option[Array[InstrumentationMeasures]]
    Definition Classes
    LightGBMPerformance
  79. def getAlpha: Double
  80. def getBaggingFraction: Double
    Definition Classes
    LightGBMFractionParams
  81. def getBaggingFreq: Int
    Definition Classes
    LightGBMParams
  82. def getBaggingSeed: Int
    Definition Classes
    LightGBMSeedParams
  83. def getBinSampleCount: Int
    Definition Classes
    LightGBMBinParams
  84. def getBoostFromAverage: Boolean
    Definition Classes
    LightGBMParams
  85. def getBoostingType: String
    Definition Classes
    LightGBMParams
  86. def getCatSmooth: Double
    Definition Classes
    LightGBMCategoricalParams
  87. 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
  88. 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
  89. def getCategoricalSlotIndexes: Array[Int]
    Definition Classes
    LightGBMSlotParams
  90. def getCategoricalSlotNames: Array[String]
    Definition Classes
    LightGBMSlotParams
  91. def getCatl2: Double
    Definition Classes
    LightGBMCategoricalParams
  92. def getChunkSize: Int
    Definition Classes
    LightGBMExecutionParams
  93. final def getClass(): Class[_]
    Definition Classes
    AnyRef → Any
    Annotations
    @native()
  94. def getColumnParams: ColumnParams

    Constructs the ColumnParams.

    Constructs the ColumnParams.

    returns

    ColumnParams object containing the parameters related to LightGBM columns.

    Attributes
    protected
    Definition Classes
    LightGBMBase
  95. def getDartParams: DartModeParams

    Constructs the DartModeParams

    Constructs the DartModeParams

    returns

    DartModeParams object containing parameters related to dart mode.

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

    Constructs the DatasetParams.

    Constructs the DatasetParams.

    returns

    DatasetParams object containing parameters related to LightGBM Dataset parameters.

    Attributes
    protected
    Definition Classes
    LightGBMBase
  100. final def getDefault[T](param: Param[T]): Option[T]
    Definition Classes
    Params
  101. def getDefaultListenPort: Int
    Definition Classes
    LightGBMExecutionParams
  102. def getDelegate: Option[LightGBMDelegate]
    Definition Classes
    LightGBMParams
  103. def getDeterministic: Boolean
    Definition Classes
    LightGBMSeedParams
  104. def getDriverListenPort: Int
    Definition Classes
    LightGBMExecutionParams
  105. def getDropRate: Double
    Definition Classes
    LightGBMDartParams
  106. def getDropSeed: Int
    Definition Classes
    LightGBMSeedParams
  107. def getEarlyStoppingRound: Int
    Definition Classes
    LightGBMLearnerParams
  108. 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
  109. def getExtraSeed: Int
    Definition Classes
    LightGBMSeedParams
  110. def getFObj: FObjTrait
    Definition Classes
    LightGBMObjectiveParams
  111. def getFeatureFraction: Double
    Definition Classes
    LightGBMFractionParams
  112. def getFeatureFractionByNode: Double
    Definition Classes
    LightGBMFractionParams
  113. def getFeatureFractionSeed: Int
    Definition Classes
    LightGBMSeedParams
  114. final def getFeaturesCol: String
    Definition Classes
    HasFeaturesCol
  115. def getFeaturesShapCol: String
    Definition Classes
    LightGBMPredictionParams
  116. 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
  117. def getImprovementTolerance: Double
    Definition Classes
    LightGBMLearnerParams
  118. def getInitScoreCol: String

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

    Constructs the ObjectiveParams.

    Constructs the ObjectiveParams.

    returns

    ObjectiveParams object containing parameters related to the objective function.

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

    Definition Classes
    HasValidationIndicatorCol
  188. def getVerbosity: Int
    Definition Classes
    LightGBMParams
  189. def getWeightCol: String

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

    The name of the initial score column

    The name of the initial score column

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

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

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

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

    The name of the validation indicator column

    The name of the validation indicator column

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

    The name of the weight column

    The name of the weight column

    Definition Classes
    HasWeightCol
  432. def write: MLWriter
    Definition Classes
    ComplexParamsWritable → MLWritable
  433. val xGBoostDartMode: BooleanParam
    Definition Classes
    LightGBMDartParams
  434. 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