trait LightGBMBase[TrainedModel <: Model[TrainedModel]] extends Estimator[TrainedModel] with LightGBMParams with HasFeaturesCol with HasLabelCol with LightGBMPerformance with SynapseMLLogging

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Inherited
  1. LightGBMBase
  2. SynapseMLLogging
  3. LightGBMPerformance
  4. HasLabelCol
  5. HasFeaturesCol
  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. Estimator
  29. PipelineStage
  30. Logging
  31. Params
  32. Serializable
  33. Serializable
  34. Identifiable
  35. AnyRef
  36. Any
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Visibility
  1. Public
  2. All

Abstract Value Members

  1. abstract def copy(extra: ParamMap): Estimator[TrainedModel]
    Definition Classes
    Estimator → PipelineStage → Params
  2. abstract def fit(dataset: Dataset[_]): TrainedModel
    Definition Classes
    Estimator
    Annotations
    @Since( "2.0.0" )
  3. abstract def getModel(trainParams: BaseTrainParams, lightGBMBooster: LightGBMBooster): TrainedModel

    Gets the trained model given the train parameters and booster.

    Gets the trained model given the train parameters and booster.

    returns

    trained model.

    Attributes
    protected
  4. abstract 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.

    Attributes
    protected
  5. abstract def stringFromTrainedModel(model: TrainedModel): String
    Attributes
    protected
  6. abstract def transformSchema(schema: StructType): StructType
    Definition Classes
    PipelineStage
  7. abstract val uid: String
    Definition Classes
    SynapseMLLogging

Concrete 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
  6. def afterTrainBatch(batchIndex: Int, dataset: Dataset[_], model: TrainedModel): Unit
  7. final def asInstanceOf[T0]: T0
    Definition Classes
    Any
  8. val baggingFraction: DoubleParam
    Definition Classes
    LightGBMFractionParams
  9. val baggingFreq: IntParam
    Definition Classes
    LightGBMParams
  10. val baggingSeed: IntParam
    Definition Classes
    LightGBMSeedParams
  11. def beforeTrainBatch(batchIndex: Int, dataset: Dataset[_], model: Option[TrainedModel]): Unit
  12. val binSampleCount: IntParam
    Definition Classes
    LightGBMBinParams
  13. val boostFromAverage: BooleanParam
    Definition Classes
    LightGBMParams
  14. val boostingType: Param[String]
    Definition Classes
    LightGBMParams
  15. def calculateColumnStatistics(dataframe: DataFrame, measures: InstrumentationMeasures): (Int, Int)

    Extract column counts from the dataset.

    Extract column counts from the dataset.

    dataframe

    The dataset to train on.

    returns

    The number of feature columns and initial score classes

    Attributes
    protected
  16. def calculateRowStatistics(dataframe: DataFrame, trainingParams: BaseTrainParams, numCols: Int, measures: InstrumentationMeasures): (Array[Row], Array[Long])

    Inner train method for LightGBM learners.

    Inner train method for LightGBM learners. Calculates the number of workers, creates a driver thread, and runs mapPartitions on the dataset.

    dataframe

    The dataset to train on.

    trainingParams

    The training parameters.

    numCols

    The number of feature columns.

    returns

    The serialized Dataset reference and an array of partition counts.

    Attributes
    protected
  17. def castColumns(dataset: Dataset[_], trainingCols: Array[(String, Seq[DataType])]): DataFrame
    Attributes
    protected
  18. val catSmooth: DoubleParam
    Definition Classes
    LightGBMCategoricalParams
  19. val categoricalSlotIndexes: IntArrayParam
    Definition Classes
    LightGBMSlotParams
  20. val categoricalSlotNames: StringArrayParam
    Definition Classes
    LightGBMSlotParams
  21. val catl2: DoubleParam
    Definition Classes
    LightGBMCategoricalParams
  22. val chunkSize: IntParam
    Definition Classes
    LightGBMExecutionParams
  23. lazy val classNameHelper: String
    Attributes
    protected
    Definition Classes
    BaseWrappable
  24. final def clear(param: Param[_]): LightGBMBase.this.type
    Definition Classes
    Params
  25. def clone(): AnyRef
    Attributes
    protected[lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( ... ) @native()
  26. def companionModelClassName: String
    Attributes
    protected
    Definition Classes
    BaseWrappable
  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. final def defaultCopy[T <: Params](extra: ParamMap): T
    Attributes
    protected
    Definition Classes
    Params
  31. val defaultListenPort: IntParam
    Definition Classes
    LightGBMExecutionParams
  32. val delegate: Option[LightGBMDelegate]
    Definition Classes
    LightGBMParams
  33. val deterministic: BooleanParam
    Definition Classes
    LightGBMSeedParams
  34. def dotnetAdditionalMethods: String
    Definition Classes
    DotnetWrappable
  35. def dotnetClass(): String
    Attributes
    protected
    Definition Classes
    DotnetWrappable
  36. lazy val dotnetClassName: String
    Attributes
    protected
    Definition Classes
    DotnetWrappable
  37. lazy val dotnetClassNameString: String
    Attributes
    protected
    Definition Classes
    DotnetWrappable
  38. lazy val dotnetClassWrapperName: String
    Attributes
    protected
    Definition Classes
    DotnetWrappable
  39. lazy val dotnetCopyrightLines: String
    Attributes
    protected
    Definition Classes
    DotnetWrappable
  40. def dotnetExtraEstimatorImports: String
    Attributes
    protected
    Definition Classes
    DotnetWrappable
  41. def dotnetExtraMethods: String
    Attributes
    protected
    Definition Classes
    DotnetWrappable
  42. lazy val dotnetInternalWrapper: Boolean
    Attributes
    protected
    Definition Classes
    DotnetWrappable
  43. def dotnetMLReadWriteMethods: String
    Attributes
    protected
    Definition Classes
    DotnetWrappable
  44. lazy val dotnetNamespace: String
    Attributes
    protected
    Definition Classes
    DotnetWrappable
  45. lazy val dotnetObjectBaseClass: String
    Attributes
    protected
    Definition Classes
    DotnetWrappable
  46. def dotnetParamGetter(p: Param[_]): String
    Attributes
    protected
    Definition Classes
    DotnetWrappable
  47. def dotnetParamGetters: String
    Attributes
    protected
    Definition Classes
    DotnetWrappable
  48. def dotnetParamSetter(p: Param[_]): String
    Attributes
    protected
    Definition Classes
    DotnetWrappable
  49. def dotnetParamSetters: String
    Attributes
    protected
    Definition Classes
    DotnetWrappable
  50. def dotnetWrapAsTypeMethod: String
    Attributes
    protected
    Definition Classes
    DotnetWrappable
  51. val driverListenPort: IntParam
    Definition Classes
    LightGBMExecutionParams
  52. val dropRate: DoubleParam
    Definition Classes
    LightGBMDartParams
  53. val dropSeed: IntParam
    Definition Classes
    LightGBMSeedParams
  54. val earlyStoppingRound: IntParam
    Definition Classes
    LightGBMLearnerParams
  55. final def eq(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  56. def equals(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  57. def executePartitionTasks(ctx: TrainingContext, dataframe: DataFrame, measures: InstrumentationMeasures): LightGBMBooster
    Attributes
    protected
  58. def executeTraining(dataframe: DataFrame, validationData: Option[Broadcast[Array[Row]]], broadcastedSampleData: Option[Broadcast[Array[Row]]], partitionCounts: Option[Array[Long]], trainParams: BaseTrainParams, numCols: Int, numInitValueClasses: Int, batchIndex: Int, numTasks: Int, numTasksPerExecutor: Int, measures: InstrumentationMeasures): TrainedModel

    Run a parallel job via map partitions to initialize the native library and network, translate the data to the LightGBM in-memory representation and train the models.

    Run a parallel job via map partitions to initialize the native library and network, translate the data to the LightGBM in-memory representation and train the models.

    dataframe

    The dataset to train on.

    validationData

    The dataset to use as validation. (optional)

    broadcastedSampleData

    Sample data to use for streaming mode Dataset creation (optional).

    partitionCounts

    The count per partition for streaming mode (optional).

    trainParams

    Training parameters.

    numCols

    Number of columns.

    numInitValueClasses

    Number of classes for initial values (used only for multiclass).

    batchIndex

    In running in batch training mode, gets the batch number.

    numTasks

    Number of tasks/partitions.

    numTasksPerExecutor

    Number of tasks per executor.

    measures

    Instrumentation measures to populate.

    returns

    The LightGBM Model from the trained LightGBM Booster.

    Attributes
    protected
  59. val executionMode: Param[String]
    Definition Classes
    LightGBMExecutionParams
  60. def explainParam(param: Param[_]): String
    Definition Classes
    Params
  61. def explainParams(): String
    Definition Classes
    Params
  62. val extraSeed: IntParam
    Definition Classes
    LightGBMSeedParams
  63. final def extractParamMap(): ParamMap
    Definition Classes
    Params
  64. final def extractParamMap(extra: ParamMap): ParamMap
    Definition Classes
    Params
  65. val featureFraction: DoubleParam
    Definition Classes
    LightGBMFractionParams
  66. val featureFractionByNode: DoubleParam
    Definition Classes
    LightGBMFractionParams
  67. val featureFractionSeed: IntParam
    Definition Classes
    LightGBMSeedParams
  68. final val featuresCol: Param[String]
    Definition Classes
    HasFeaturesCol
  69. val featuresShapCol: Param[String]
    Definition Classes
    LightGBMPredictionParams
  70. def finalize(): Unit
    Attributes
    protected[lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] )
  71. def fit(dataset: Dataset[_], paramMaps: Seq[ParamMap]): Seq[TrainedModel]
    Definition Classes
    Estimator
    Annotations
    @Since( "2.0.0" )
  72. def fit(dataset: Dataset[_], paramMap: ParamMap): TrainedModel
    Definition Classes
    Estimator
    Annotations
    @Since( "2.0.0" )
  73. def fit(dataset: Dataset[_], firstParamPair: ParamPair[_], otherParamPairs: ParamPair[_]*): TrainedModel
    Definition Classes
    Estimator
    Annotations
    @Since( "2.0.0" ) @varargs()
  74. val fobj: FObjParam
    Definition Classes
    LightGBMObjectiveParams
  75. final def get[T](param: Param[T]): Option[T]
    Definition Classes
    Params
  76. def getAllPerformanceMeasures: Option[Array[InstrumentationMeasures]]
    Definition Classes
    LightGBMPerformance
  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
  85. def getCategoricalParams: CategoricalParams

    Constructs the CategoricalParams.

    Constructs the CategoricalParams.

    returns

    CategoricalParams object containing the parameters related to LightGBM categorical features.

    Attributes
    protected
  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
  92. def getDartParams: DartModeParams

    Constructs the DartModeParams

    Constructs the DartModeParams

    returns

    DartModeParams object containing parameters related to dart mode.

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

    Constructs the DatasetParams.

    Constructs the DatasetParams.

    returns

    DatasetParams object containing parameters related to LightGBM Dataset parameters.

    Attributes
    protected
  96. final def getDefault[T](param: Param[T]): Option[T]
    Definition Classes
    Params
  97. def getDefaultListenPort: Int
    Definition Classes
    LightGBMExecutionParams
  98. def getDelegate: Option[LightGBMDelegate]
    Definition Classes
    LightGBMParams
  99. def getDeterministic: Boolean
    Definition Classes
    LightGBMSeedParams
  100. def getDriverListenPort: Int
    Definition Classes
    LightGBMExecutionParams
  101. def getDropRate: Double
    Definition Classes
    LightGBMDartParams
  102. def getDropSeed: Int
    Definition Classes
    LightGBMSeedParams
  103. def getEarlyStoppingRound: Int
    Definition Classes
    LightGBMLearnerParams
  104. def getExecutionMode: String
    Definition Classes
    LightGBMExecutionParams
  105. def getExecutionParams(numTasksPerExec: Int): ExecutionParams

    Constructs the ExecutionParams.

    Constructs the ExecutionParams.

    returns

    ExecutionParams object containing parameters related to LightGBM execution.

    Attributes
    protected
  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
  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 getModelString: String
    Definition Classes
    LightGBMParams
  141. def getMonotoneConstraints: Array[Int]
    Definition Classes
    LightGBMLearnerParams
  142. def getMonotoneConstraintsMethod: String
    Definition Classes
    LightGBMLearnerParams
  143. def getMonotonePenalty: Double
    Definition Classes
    LightGBMLearnerParams
  144. def getNegBaggingFraction: Double
    Definition Classes
    LightGBMFractionParams
  145. def getNumBatches: Int
    Definition Classes
    LightGBMExecutionParams
  146. def getNumIterations: Int
    Definition Classes
    LightGBMParams
  147. def getNumLeaves: Int
    Definition Classes
    LightGBMParams
  148. def getNumTasks: Int
    Definition Classes
    LightGBMExecutionParams
  149. def getNumThreads: Int
    Definition Classes
    LightGBMExecutionParams
  150. def getObjective: String
    Definition Classes
    LightGBMObjectiveParams
  151. def getObjectiveParams: ObjectiveParams

    Constructs the ObjectiveParams.

    Constructs the ObjectiveParams.

    returns

    ObjectiveParams object containing parameters related to the objective function.

    Attributes
    protected
  152. def getObjectiveSeed: Int
    Definition Classes
    LightGBMSeedParams
  153. 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
  154. final def getOrDefault[T](param: Param[T]): T
    Definition Classes
    Params
  155. def getOtherRate: Double
    Definition Classes
    LightGBMLearnerParams
  156. def getParallelism: String
    Definition Classes
    LightGBMExecutionParams
  157. def getParam(paramName: String): Param[Any]
    Definition Classes
    Params
  158. def getParamInfo(p: Param[_]): ParamInfo[_]
    Definition Classes
    BaseWrappable
  159. def getPassThroughArgs: String
    Definition Classes
    LightGBMExecutionParams
  160. 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
  161. def getPosBaggingFraction: Double
    Definition Classes
    LightGBMFractionParams
  162. def getPredictDisableShapeCheck: Boolean
    Definition Classes
    LightGBMPredictionParams
  163. def getRepartitionByGroupingColumn: Boolean
    Definition Classes
    LightGBMExecutionParams
  164. def getSeed: Int
    Definition Classes
    LightGBMSeedParams
  165. def getSeedParams: SeedParams

    Constructs the SeedParams.

    Constructs the SeedParams.

    returns

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

    Attributes
    protected
  166. def getSkipDrop: Double
    Definition Classes
    LightGBMDartParams
  167. def getSlotNames: Array[String]
    Definition Classes
    LightGBMSlotParams
  168. def getSlotNamesWithMetadata(featuresSchema: StructField): Option[Array[String]]
  169. def getTimeout: Double
    Definition Classes
    LightGBMExecutionParams
  170. def getTopK: Int
    Definition Classes
    LightGBMExecutionParams
  171. def getTopRate: Double
    Definition Classes
    LightGBMLearnerParams
  172. def getTrainingCols: Array[(String, Seq[DataType])]
    Attributes
    protected
  173. def getTrainingContext(dataframe: DataFrame, validationData: Option[Broadcast[Array[Row]]], broadcastedSampleData: Option[Broadcast[Array[Row]]], partitionCounts: Option[Array[Long]], trainParams: BaseTrainParams, numCols: Int, numInitValueClasses: Int, batchIndex: Int, numTasksPerExecutor: Int, networkManager: NetworkManager): TrainingContext

    Get the object that holds all relevant context information for the training session.

    Get the object that holds all relevant context information for the training session.

    dataframe

    The dataset to train on.

    validationData

    The dataset to use as validation. (optional)

    broadcastedSampleData

    Sample data to use for streaming mode Dataset creation (optional).

    partitionCounts

    The count per partition for streaming mode (optional).

    trainParams

    Training parameters.

    numCols

    Number of columns.

    numInitValueClasses

    Number of classes for initial values (used only for multiclass).

    batchIndex

    In running in batch training mode, gets the batch number.

    numTasksPerExecutor

    Number of tasks per executor.

    networkManager

    The network manager.

    returns

    The context of the training session.

    Attributes
    protected
  174. def getUniformDrop: Boolean
    Definition Classes
    LightGBMDartParams
  175. def getUseBarrierExecutionMode: Boolean
    Definition Classes
    LightGBMExecutionParams
  176. def getUseMissing: Boolean
    Definition Classes
    LightGBMDatasetParams
  177. def getUseSingleDatasetMode: Boolean
    Definition Classes
    LightGBMExecutionParams
  178. def getValidationIndicatorCol: String

    Definition Classes
    HasValidationIndicatorCol
  179. def getVerbosity: Int
    Definition Classes
    LightGBMParams
  180. def getWeightCol: String

    Definition Classes
    HasWeightCol
  181. def getXGBoostDartMode: Boolean
    Definition Classes
    LightGBMDartParams
  182. def getZeroAsMissing: Boolean
    Definition Classes
    LightGBMDatasetParams
  183. final def hasDefault[T](param: Param[T]): Boolean
    Definition Classes
    Params
  184. def hasParam(paramName: String): Boolean
    Definition Classes
    Params
  185. def hashCode(): Int
    Definition Classes
    AnyRef → Any
    Annotations
    @native()
  186. val improvementTolerance: DoubleParam
    Definition Classes
    LightGBMLearnerParams
  187. def initPerformanceMeasures(batchCount: Int): Unit
    Attributes
    protected
    Definition Classes
    LightGBMPerformance
  188. val initScoreCol: Param[String]

    The name of the initial score column

    The name of the initial score column

    Definition Classes
    HasInitScoreCol
  189. def initializeLogIfNecessary(isInterpreter: Boolean, silent: Boolean): Boolean
    Attributes
    protected
    Definition Classes
    Logging
  190. def initializeLogIfNecessary(isInterpreter: Boolean): Unit
    Attributes
    protected
    Definition Classes
    Logging
  191. final def isDefined(param: Param[_]): Boolean
    Definition Classes
    Params
  192. val isEnableSparse: BooleanParam
    Definition Classes
    LightGBMDatasetParams
  193. final def isInstanceOf[T0]: Boolean
    Definition Classes
    Any
  194. val isProvideTrainingMetric: BooleanParam
    Definition Classes
    LightGBMParams
  195. final def isSet(param: Param[_]): Boolean
    Definition Classes
    Params
  196. def isTraceEnabled(): Boolean
    Attributes
    protected
    Definition Classes
    Logging
  197. final val labelCol: Param[String]
    Definition Classes
    HasLabelCol
  198. val lambdaL1: DoubleParam
    Definition Classes
    LightGBMParams
  199. val lambdaL2: DoubleParam
    Definition Classes
    LightGBMParams
  200. val leafPredictionCol: Param[String]
    Definition Classes
    LightGBMPredictionParams
  201. val learningRate: DoubleParam
    Definition Classes
    LightGBMParams
  202. def log: Logger
    Attributes
    protected
    Definition Classes
    Logging
  203. def logBase(info: SynapseMLLogInfo): Unit
    Attributes
    protected
    Definition Classes
    SynapseMLLogging
  204. def logBase(methodName: String, columns: Option[Int]): Unit
    Attributes
    protected
    Definition Classes
    SynapseMLLogging
  205. def logClass(): Unit
    Definition Classes
    SynapseMLLogging
  206. def logDebug(msg: ⇒ String, throwable: Throwable): Unit
    Attributes
    protected
    Definition Classes
    Logging
  207. def logDebug(msg: ⇒ String): Unit
    Attributes
    protected
    Definition Classes
    Logging
  208. def logError(msg: ⇒ String, throwable: Throwable): Unit
    Attributes
    protected
    Definition Classes
    Logging
  209. def logError(msg: ⇒ String): Unit
    Attributes
    protected
    Definition Classes
    Logging
  210. def logErrorBase(methodName: String, e: Exception): Unit
    Attributes
    protected
    Definition Classes
    SynapseMLLogging
  211. def logFit[T](f: ⇒ T, columns: Int): T
    Definition Classes
    SynapseMLLogging
  212. def logInfo(msg: ⇒ String, throwable: Throwable): Unit
    Attributes
    protected
    Definition Classes
    Logging
  213. def logInfo(msg: ⇒ String): Unit
    Attributes
    protected
    Definition Classes
    Logging
  214. def logName: String
    Attributes
    protected
    Definition Classes
    Logging
  215. def logTrace(msg: ⇒ String, throwable: Throwable): Unit
    Attributes
    protected
    Definition Classes
    Logging
  216. def logTrace(msg: ⇒ String): Unit
    Attributes
    protected
    Definition Classes
    Logging
  217. def logTrain[T](f: ⇒ T, columns: Int): T
    Definition Classes
    SynapseMLLogging
  218. def logTransform[T](f: ⇒ T, columns: Int): T
    Definition Classes
    SynapseMLLogging
  219. def logVerb[T](verb: String, f: ⇒ T, columns: Int = -1): T
    Definition Classes
    SynapseMLLogging
  220. def logWarning(msg: ⇒ String, throwable: Throwable): Unit
    Attributes
    protected
    Definition Classes
    Logging
  221. def logWarning(msg: ⇒ String): Unit
    Attributes
    protected
    Definition Classes
    Logging
  222. def makeDotnetFile(conf: CodegenConfig): Unit
    Definition Classes
    DotnetWrappable
  223. def makePyFile(conf: CodegenConfig): Unit
    Definition Classes
    PythonWrappable
  224. def makeRFile(conf: CodegenConfig): Unit
    Definition Classes
    RWrappable
  225. val matrixType: Param[String]
    Definition Classes
    LightGBMExecutionParams
  226. val maxBin: IntParam
    Definition Classes
    LightGBMBinParams
  227. val maxBinByFeature: IntArrayParam
    Definition Classes
    LightGBMParams
  228. val maxCatThreshold: IntParam
    Definition Classes
    LightGBMCategoricalParams
  229. val maxCatToOnehot: IntParam
    Definition Classes
    LightGBMCategoricalParams
  230. val maxDeltaStep: DoubleParam
    Definition Classes
    LightGBMParams
  231. val maxDepth: IntParam
    Definition Classes
    LightGBMParams
  232. val maxDrop: IntParam
    Definition Classes
    LightGBMDartParams
  233. val maxNumClasses: IntParam
    Definition Classes
    LightGBMParams
  234. val maxStreamingOMPThreads: IntParam
    Definition Classes
    LightGBMExecutionParams
  235. val metric: Param[String]
    Definition Classes
    LightGBMParams
  236. val microBatchSize: IntParam
    Definition Classes
    LightGBMExecutionParams
  237. val minDataInLeaf: IntParam
    Definition Classes
    LightGBMParams
  238. val minDataPerBin: IntParam
    Definition Classes
    LightGBMParams
  239. val minDataPerGroup: IntParam
    Definition Classes
    LightGBMCategoricalParams
  240. val minGainToSplit: DoubleParam
    Definition Classes
    LightGBMParams
  241. val minSumHessianInLeaf: DoubleParam
    Definition Classes
    LightGBMParams
  242. val modelString: Param[String]
    Definition Classes
    LightGBMParams
  243. val monotoneConstraints: IntArrayParam
    Definition Classes
    LightGBMLearnerParams
  244. val monotoneConstraintsMethod: Param[String]
    Definition Classes
    LightGBMLearnerParams
  245. val monotonePenalty: DoubleParam
    Definition Classes
    LightGBMLearnerParams
  246. final def ne(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  247. val negBaggingFraction: DoubleParam
    Definition Classes
    LightGBMFractionParams
  248. final def notify(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native()
  249. final def notifyAll(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native()
  250. val numBatches: IntParam
    Definition Classes
    LightGBMExecutionParams
  251. val numIterations: IntParam
    Definition Classes
    LightGBMParams
  252. val numLeaves: IntParam
    Definition Classes
    LightGBMParams
  253. val numTasks: IntParam
    Definition Classes
    LightGBMExecutionParams
  254. val numThreads: IntParam
    Definition Classes
    LightGBMExecutionParams
  255. val objective: Param[String]
    Definition Classes
    LightGBMObjectiveParams
  256. val objectiveSeed: IntParam
    Definition Classes
    LightGBMSeedParams
  257. val otherRate: DoubleParam
    Definition Classes
    LightGBMLearnerParams
  258. val parallelism: Param[String]
    Definition Classes
    LightGBMExecutionParams
  259. lazy val params: Array[Param[_]]
    Definition Classes
    Params
  260. val passThroughArgs: Param[String]
    Definition Classes
    LightGBMExecutionParams
  261. val posBaggingFraction: DoubleParam
    Definition Classes
    LightGBMFractionParams
  262. val predictDisableShapeCheck: BooleanParam
    Definition Classes
    LightGBMPredictionParams
  263. def prepareDataframe(dataset: Dataset[_], numTasks: Int): DataFrame
    Attributes
    protected
  264. 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
  265. def pyAdditionalMethods: String
    Definition Classes
    PythonWrappable
  266. lazy val pyClassDoc: String
    Attributes
    protected
    Definition Classes
    PythonWrappable
  267. lazy val pyClassName: String
    Attributes
    protected
    Definition Classes
    PythonWrappable
  268. def pyExtraEstimatorImports: String
    Attributes
    protected
    Definition Classes
    PythonWrappable
  269. def pyExtraEstimatorMethods: String
    Attributes
    protected
    Definition Classes
    PythonWrappable
  270. lazy val pyInheritedClasses: Seq[String]
    Attributes
    protected
    Definition Classes
    PythonWrappable
  271. def pyInitFunc(): String
    Definition Classes
    PythonWrappable
  272. lazy val pyInternalWrapper: Boolean
    Attributes
    protected
    Definition Classes
    PythonWrappable
  273. lazy val pyObjectBaseClass: String
    Attributes
    protected
    Definition Classes
    PythonWrappable
  274. def pyParamArg[T](p: Param[T]): String
    Attributes
    protected
    Definition Classes
    PythonWrappable
  275. def pyParamDefault[T](p: Param[T]): Option[String]
    Attributes
    protected
    Definition Classes
    PythonWrappable
  276. def pyParamGetter(p: Param[_]): String
    Attributes
    protected
    Definition Classes
    PythonWrappable
  277. def pyParamSetter(p: Param[_]): String
    Attributes
    protected
    Definition Classes
    PythonWrappable
  278. def pyParamsArgs: String
    Attributes
    protected
    Definition Classes
    PythonWrappable
  279. def pyParamsDefaults: String
    Attributes
    protected
    Definition Classes
    PythonWrappable
  280. lazy val pyParamsDefinitions: String
    Attributes
    protected
    Definition Classes
    PythonWrappable
  281. def pyParamsGetters: String
    Attributes
    protected
    Definition Classes
    PythonWrappable
  282. def pyParamsSetters: String
    Attributes
    protected
    Definition Classes
    PythonWrappable
  283. def pythonClass(): String
    Attributes
    protected
    Definition Classes
    PythonWrappable
  284. def rClass(): String
    Attributes
    protected
    Definition Classes
    RWrappable
  285. def rDocString: String
    Attributes
    protected
    Definition Classes
    RWrappable
  286. def rExtraBodyLines: String
    Attributes
    protected
    Definition Classes
    RWrappable
  287. def rExtraInitLines: String
    Attributes
    protected
    Definition Classes
    RWrappable
  288. lazy val rFuncName: String
    Attributes
    protected
    Definition Classes
    RWrappable
  289. lazy val rInternalWrapper: Boolean
    Attributes
    protected
    Definition Classes
    RWrappable
  290. def rParamArg[T](p: Param[T]): String
    Attributes
    protected
    Definition Classes
    RWrappable
  291. def rParamsArgs: String
    Attributes
    protected
    Definition Classes
    RWrappable
  292. def rSetterLines: String
    Attributes
    protected
    Definition Classes
    RWrappable
  293. val repartitionByGroupingColumn: BooleanParam
    Definition Classes
    LightGBMExecutionParams
  294. def save(path: String): Unit
    Definition Classes
    MLWritable
    Annotations
    @Since( "1.6.0" ) @throws( ... )
  295. val seed: IntParam
    Definition Classes
    LightGBMSeedParams
  296. final def set(paramPair: ParamPair[_]): LightGBMBase.this.type
    Attributes
    protected
    Definition Classes
    Params
  297. final def set(param: String, value: Any): LightGBMBase.this.type
    Attributes
    protected
    Definition Classes
    Params
  298. final def set[T](param: Param[T], value: T): LightGBMBase.this.type
    Definition Classes
    Params
  299. def setBaggingFraction(value: Double): LightGBMBase.this.type
    Definition Classes
    LightGBMFractionParams
  300. def setBaggingFreq(value: Int): LightGBMBase.this.type
    Definition Classes
    LightGBMParams
  301. def setBaggingSeed(value: Int): LightGBMBase.this.type
    Definition Classes
    LightGBMSeedParams
  302. def setBatchPerformanceMeasure(index: Int, measures: InstrumentationMeasures): Unit
    Attributes
    protected
    Definition Classes
    LightGBMPerformance
  303. def setBatchPerformanceMeasures(measures: Array[Option[InstrumentationMeasures]]): LightGBMBase.this.type
    Attributes
    protected
    Definition Classes
    LightGBMPerformance
  304. def setBinSampleCount(value: Int): LightGBMBase.this.type
    Definition Classes
    LightGBMBinParams
  305. def setBoostFromAverage(value: Boolean): LightGBMBase.this.type
    Definition Classes
    LightGBMParams
  306. def setBoostingType(value: String): LightGBMBase.this.type
    Definition Classes
    LightGBMParams
  307. def setCatSmooth(value: Double): LightGBMBase.this.type
    Definition Classes
    LightGBMCategoricalParams
  308. def setCategoricalSlotIndexes(value: Array[Int]): LightGBMBase.this.type
    Definition Classes
    LightGBMSlotParams
  309. def setCategoricalSlotNames(value: Array[String]): LightGBMBase.this.type
    Definition Classes
    LightGBMSlotParams
  310. def setCatl2(value: Double): LightGBMBase.this.type
    Definition Classes
    LightGBMCategoricalParams
  311. def setChunkSize(value: Int): LightGBMBase.this.type
    Definition Classes
    LightGBMExecutionParams
  312. def setDataRandomSeed(value: Int): LightGBMBase.this.type
    Definition Classes
    LightGBMSeedParams
  313. final def setDefault(paramPairs: ParamPair[_]*): LightGBMBase.this.type
    Attributes
    protected
    Definition Classes
    Params
  314. final def setDefault[T](param: Param[T], value: T): LightGBMBase.this.type
    Attributes
    protected
    Definition Classes
    Params
  315. def setDefaultListenPort(value: Int): LightGBMBase.this.type
    Definition Classes
    LightGBMExecutionParams
  316. def setDelegate(delegate: LightGBMDelegate): LightGBMBase.this.type
    Definition Classes
    LightGBMParams
  317. def setDeterministic(value: Boolean): LightGBMBase.this.type
    Definition Classes
    LightGBMSeedParams
  318. def setDriverListenPort(value: Int): LightGBMBase.this.type
    Definition Classes
    LightGBMExecutionParams
  319. def setDropRate(value: Double): LightGBMBase.this.type
    Definition Classes
    LightGBMDartParams
  320. def setDropSeed(value: Int): LightGBMBase.this.type
    Definition Classes
    LightGBMSeedParams
  321. def setEarlyStoppingRound(value: Int): LightGBMBase.this.type
    Definition Classes
    LightGBMLearnerParams
  322. def setExecutionMode(value: String): LightGBMBase.this.type
    Definition Classes
    LightGBMExecutionParams
  323. def setExtraSeed(value: Int): LightGBMBase.this.type
    Definition Classes
    LightGBMSeedParams
  324. def setFObj(value: FObjTrait): LightGBMBase.this.type
    Definition Classes
    LightGBMObjectiveParams
  325. def setFeatureFraction(value: Double): LightGBMBase.this.type
    Definition Classes
    LightGBMFractionParams
  326. def setFeatureFractionByNode(value: Double): LightGBMBase.this.type
    Definition Classes
    LightGBMFractionParams
  327. def setFeatureFractionSeed(value: Int): LightGBMBase.this.type
    Definition Classes
    LightGBMSeedParams
  328. def setFeaturesShapCol(value: String): LightGBMBase.this.type
    Definition Classes
    LightGBMPredictionParams
  329. def setImprovementTolerance(value: Double): LightGBMBase.this.type
    Definition Classes
    LightGBMLearnerParams
  330. def setInitScoreCol(value: String): LightGBMBase.this.type

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

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

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

    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
  396. def trainOneDataBatch(dataset: Dataset[_], batchIndex: Int, batchCount: Int): TrainedModel

    Inner train method for LightGBM learners.

    Inner train method for LightGBM learners. Calculates the number of workers, creates a driver thread, and runs mapPartitions on the dataset.

    dataset

    The dataset to train on.

    batchIndex

    In running in batch training mode, gets the batch number.

    returns

    The LightGBM Model from the trained LightGBM Booster.

    Attributes
    protected
  397. def transformSchema(schema: StructType, logging: Boolean): StructType
    Attributes
    protected
    Definition Classes
    PipelineStage
    Annotations
    @DeveloperApi()
  398. val uniformDrop: BooleanParam
    Definition Classes
    LightGBMDartParams
  399. val useBarrierExecutionMode: BooleanParam
    Definition Classes
    LightGBMExecutionParams
  400. val useMissing: BooleanParam
    Definition Classes
    LightGBMDatasetParams
  401. val useSingleDatasetMode: BooleanParam
    Definition Classes
    LightGBMExecutionParams
  402. val validationIndicatorCol: Param[String]

    The name of the validation indicator column

    The name of the validation indicator column

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

    The name of the weight column

    The name of the weight column

    Definition Classes
    HasWeightCol
  408. def write: MLWriter
    Definition Classes
    DefaultParamsWritable → MLWritable
  409. val xGBoostDartMode: BooleanParam
    Definition Classes
    LightGBMDartParams
  410. val zeroAsMissing: BooleanParam
    Definition Classes
    LightGBMDatasetParams

Inherited from SynapseMLLogging

Inherited from LightGBMPerformance

Inherited from HasLabelCol

Inherited from HasFeaturesCol

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 Estimator[TrainedModel]

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