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

   LightGBMClassifier → LightGBMBase

6.  def afterTrainBatch(batchIndex: Int, dataset: Dataset[_], model: LightGBMClassificationModel): Unit

   Definition Classes

   LightGBMBase

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[LightGBMClassificationModel]): Unit

    Definition Classes

    LightGBMBase

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

    Definition Classes

    LightGBMBase

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

    Definition Classes

    LightGBMBase

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

    Attributes

    protected

    Definition Classes

    LightGBMBase

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[_]): LightGBMClassifier.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 copy(extra: ParamMap): LightGBMClassifier

    Definition Classes

    LightGBMClassifier → Predictor → Estimator → PipelineStage → Params

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

    Attributes

    protected

    Definition Classes

    Params

29.  lazy val copyrightLines: String

    Attributes

    protected

    Definition Classes

    BaseWrappable

30.  val dataRandomSeed: IntParam

    Definition Classes

    LightGBMSeedParams

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 executePartitionTasks(ctx: TrainingContext, dataframe: DataFrame, measures: InstrumentationMeasures): LightGBMBooster

    Attributes

    protected

    Definition Classes

    LightGBMBase

59.  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): LightGBMClassificationModel

    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

    Definition Classes

    LightGBMBase

60.  val executionMode: Param[String]

    Definition Classes

    LightGBMExecutionParams

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

    Definition Classes

    Params

62.  def explainParams(): String

    Definition Classes

    Params

63.  val extraSeed: IntParam

    Definition Classes

    LightGBMSeedParams

64.  def extractInstances(dataset: Dataset[_], numClasses: Int): RDD[Instance]

    Attributes

    protected

    Definition Classes

    ClassifierParams

65.  def extractInstances(dataset: Dataset[_], validateInstance: (Instance) ⇒ Unit): RDD[Instance]

    Attributes

    protected

    Definition Classes

    PredictorParams

66.  def extractInstances(dataset: Dataset[_]): RDD[Instance]

    Attributes

    protected

    Definition Classes

    PredictorParams

67.  def extractLabeledPoints(dataset: Dataset[_], numClasses: Int): RDD[LabeledPoint]

    Attributes

    protected

    Definition Classes

    Classifier

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

    Attributes

    protected

    Definition Classes

    Predictor

69.  final def extractParamMap(): ParamMap

    Definition Classes

    Params

70.  final def extractParamMap(extra: ParamMap): ParamMap

    Definition Classes

    Params

71.  val featureFraction: DoubleParam

    Definition Classes

    LightGBMFractionParams

72.  val featureFractionByNode: DoubleParam

    Definition Classes

    LightGBMFractionParams

73.  val featureFractionSeed: IntParam

    Definition Classes

    LightGBMSeedParams

74.  final val featuresCol: Param[String]

    Definition Classes

    HasFeaturesCol

75.  val featuresShapCol: Param[String]

    Definition Classes

    LightGBMPredictionParams

76.  def finalize(): Unit

    Attributes

    protected[lang]

    Definition Classes

    AnyRef

    Annotations

    @throws( classOf[java.lang.Throwable] )

77.  def fit(dataset: Dataset[_]): LightGBMClassificationModel

    Definition Classes

    Predictor → Estimator

78.  def fit(dataset: Dataset[_], paramMaps: Seq[ParamMap]): Seq[LightGBMClassificationModel]

    Definition Classes

    Estimator

    Annotations

    @Since( "2.0.0" )

79.  def fit(dataset: Dataset[_], paramMap: ParamMap): LightGBMClassificationModel

    Definition Classes

    Estimator

    Annotations

    @Since( "2.0.0" )

80.  def fit(dataset: Dataset[_], firstParamPair: ParamPair[_], otherParamPairs: ParamPair[_]*): LightGBMClassificationModel

    Definition Classes

    Estimator

    Annotations

    @Since( "2.0.0" ) @varargs()

81.  val fobj: FObjParam

    Definition Classes

    LightGBMObjectiveParams

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

    Definition Classes

    Params

83.  def getAllPerformanceMeasures: Option[Array[InstrumentationMeasures]]

    Definition Classes

    LightGBMPerformance

84.  def getBaggingFraction: Double

    Definition Classes

    LightGBMFractionParams

85.  def getBaggingFreq: Int

    Definition Classes

    LightGBMParams

86.  def getBaggingSeed: Int

    Definition Classes

    LightGBMSeedParams

87.  def getBinSampleCount: Int

    Definition Classes

    LightGBMBinParams

88.  def getBoostFromAverage: Boolean

    Definition Classes

    LightGBMParams

89.  def getBoostingType: String

    Definition Classes

    LightGBMParams

90.  def getCatSmooth: Double

    Definition Classes

    LightGBMCategoricalParams

91.  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

92.  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

93.  def getCategoricalSlotIndexes: Array[Int]

    Definition Classes

    LightGBMSlotParams

94.  def getCategoricalSlotNames: Array[String]

    Definition Classes

    LightGBMSlotParams

95.  def getCatl2: Double

    Definition Classes

    LightGBMCategoricalParams

96.  def getChunkSize: Int

    Definition Classes

    LightGBMExecutionParams

97.  final def getClass(): Class[_]

    Definition Classes

    AnyRef → Any

    Annotations

    @native()

98.  def getColumnParams: ColumnParams

    Constructs the ColumnParams.

    Constructs the ColumnParams.

    returns

    ColumnParams object containing the parameters related to LightGBM columns.

    Attributes

    protected

    Definition Classes

    LightGBMBase

99.  def getDartParams: DartModeParams

    Constructs the DartModeParams

    Constructs the DartModeParams

    returns

    DartModeParams object containing parameters related to dart mode.

    Attributes

    protected

    Definition Classes

    LightGBMBase

100.  def getDataRandomSeed: Int

     Definition Classes

     LightGBMSeedParams

101.  def getDatasetCreationParams(categoricalIndexes: Array[Int], numThreads: Int): String

     Definition Classes

     LightGBMBase

102.  def getDatasetParams: DatasetParams

     Constructs the DatasetParams.

     Constructs the DatasetParams.

     returns

     DatasetParams object containing parameters related to LightGBM Dataset parameters.

     Attributes

     protected

     Definition Classes

     LightGBMBase

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

     Definition Classes

     Params

104.  def getDefaultListenPort: Int

     Definition Classes

     LightGBMExecutionParams

105.  def getDelegate: Option[LightGBMDelegate]

     Definition Classes

     LightGBMParams

106.  def getDeterministic: Boolean

     Definition Classes

     LightGBMSeedParams

107.  def getDriverListenPort: Int

     Definition Classes

     LightGBMExecutionParams

108.  def getDropRate: Double

     Definition Classes

     LightGBMDartParams

109.  def getDropSeed: Int

     Definition Classes

     LightGBMSeedParams

110.  def getEarlyStoppingRound: Int

     Definition Classes

     LightGBMLearnerParams

111.  def getExecutionMode: String

     Definition Classes

     LightGBMExecutionParams

112.  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

113.  def getExtraSeed: Int

     Definition Classes

     LightGBMSeedParams

114.  def getFObj: FObjTrait

     Definition Classes

     LightGBMObjectiveParams

115.  def getFeatureFraction: Double

     Definition Classes

     LightGBMFractionParams

116.  def getFeatureFractionByNode: Double

     Definition Classes

     LightGBMFractionParams

117.  def getFeatureFractionSeed: Int

     Definition Classes

     LightGBMSeedParams

118.  final def getFeaturesCol: String

     Definition Classes

     HasFeaturesCol

119.  def getFeaturesShapCol: String

     Definition Classes

     LightGBMPredictionParams

120.  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

121.  def getImprovementTolerance: Double

     Definition Classes

     LightGBMLearnerParams

122.  def getInitScoreCol: String
     Definition Classes

     HasInitScoreCol

123.  def getIsEnableSparse: Boolean

     Definition Classes

     LightGBMDatasetParams

124.  def getIsProvideTrainingMetric: Boolean

     Definition Classes

     LightGBMParams

125.  def getIsUnbalance: Boolean
126.  final def getLabelCol: String

     Definition Classes

     HasLabelCol

127.  def getLambdaL1: Double

     Definition Classes

     LightGBMParams

128.  def getLambdaL2: Double

     Definition Classes

     LightGBMParams

129.  def getLeafPredictionCol: String

     Definition Classes

     LightGBMPredictionParams

130.  def getLearningRate: Double

     Definition Classes

     LightGBMParams

131.  def getMatrixType: String

     Definition Classes

     LightGBMExecutionParams

132.  def getMaxBin: Int

     Definition Classes

     LightGBMBinParams

133.  def getMaxBinByFeature: Array[Int]

     Definition Classes

     LightGBMParams

134.  def getMaxCatThreshold: Int

     Definition Classes

     LightGBMCategoricalParams

135.  def getMaxCatToOnehot: Int

     Definition Classes

     LightGBMCategoricalParams

136.  def getMaxDeltaStep: Double

     Definition Classes

     LightGBMParams

137.  def getMaxDepth: Int

     Definition Classes

     LightGBMParams

138.  def getMaxDrop: Int

     Definition Classes

     LightGBMDartParams

139.  def getMetric: String

     Definition Classes

     LightGBMParams

140.  def getMicroBatchSize: Int

     Definition Classes

     LightGBMExecutionParams

141.  def getMinDataInLeaf: Int

     Definition Classes

     LightGBMParams

142.  def getMinDataPerBin: Int

     Definition Classes

     LightGBMParams

143.  def getMinDataPerGroup: Int

     Definition Classes

     LightGBMCategoricalParams

144.  def getMinGainToSplit: Double

     Definition Classes

     LightGBMParams

145.  def getMinSumHessianInLeaf: Double

     Definition Classes

     LightGBMParams

146.  def getModel(trainParams: BaseTrainParams, lightGBMBooster: LightGBMBooster): LightGBMClassificationModel

     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

     LightGBMClassifier → LightGBMBase

147.  def getModelString: String

     Definition Classes

     LightGBMParams

148.  def getMonotoneConstraints: Array[Int]

     Definition Classes

     LightGBMLearnerParams

149.  def getMonotoneConstraintsMethod: String

     Definition Classes

     LightGBMLearnerParams

150.  def getMonotonePenalty: Double

     Definition Classes

     LightGBMLearnerParams

151.  def getNegBaggingFraction: Double

     Definition Classes

     LightGBMFractionParams

152.  def getNumBatches: Int

     Definition Classes

     LightGBMExecutionParams

153.  def getNumClasses(dataset: Dataset[_], maxNumClasses: Int): Int

     Attributes

     protected

     Definition Classes

     Classifier

154.  def getNumIterations: Int

     Definition Classes

     LightGBMParams

155.  def getNumLeaves: Int

     Definition Classes

     LightGBMParams

156.  def getNumTasks: Int

     Definition Classes

     LightGBMExecutionParams

157.  def getNumThreads: Int

     Definition Classes

     LightGBMExecutionParams

158.  def getObjective: String

     Definition Classes

     LightGBMObjectiveParams

159.  def getObjectiveParams: ObjectiveParams

     Constructs the ObjectiveParams.

     Constructs the ObjectiveParams.

     returns

     ObjectiveParams object containing parameters related to the objective function.

     Attributes

     protected

     Definition Classes

     LightGBMBase

160.  def getObjectiveSeed: Int

     Definition Classes

     LightGBMSeedParams

161.  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

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

     Definition Classes

     Params

163.  def getOtherRate: Double

     Definition Classes

     LightGBMLearnerParams

164.  def getParallelism: String

     Definition Classes

     LightGBMExecutionParams

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

     Definition Classes

     Params

166.  def getParamInfo(p: Param[_]): ParamInfo[_]

     Definition Classes

     BaseWrappable

167.  def getPassThroughArgs: String

     Definition Classes

     LightGBMExecutionParams

168.  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

169.  def getPosBaggingFraction: Double

     Definition Classes

     LightGBMFractionParams

170.  def getPredictDisableShapeCheck: Boolean

     Definition Classes

     LightGBMPredictionParams

171.  final def getPredictionCol: String

     Definition Classes

     HasPredictionCol

172.  final def getProbabilityCol: String

     Definition Classes

     HasProbabilityCol

173.  final def getRawPredictionCol: String

     Definition Classes

     HasRawPredictionCol

174.  def getRepartitionByGroupingColumn: Boolean

     Definition Classes

     LightGBMExecutionParams

175.  def getSeed: Int

     Definition Classes

     LightGBMSeedParams

176.  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

177.  def getSkipDrop: Double

     Definition Classes

     LightGBMDartParams

178.  def getSlotNames: Array[String]

     Definition Classes

     LightGBMSlotParams

179.  def getSlotNamesWithMetadata(featuresSchema: StructField): Option[Array[String]]

     Definition Classes

     LightGBMBase

180.  def getThresholds: Array[Double]

     Definition Classes

     HasThresholds

181.  def getTimeout: Double

     Definition Classes

     LightGBMExecutionParams

182.  def getTopK: Int

     Definition Classes

     LightGBMExecutionParams

183.  def getTopRate: Double

     Definition Classes

     LightGBMLearnerParams

184.  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

     LightGBMClassifier → LightGBMBase

185.  def getTrainingCols: Array[(String, Seq[DataType])]

     Attributes

     protected

     Definition Classes

     LightGBMBase

186.  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

     Definition Classes

     LightGBMBase

187.  def getUniformDrop: Boolean

     Definition Classes

     LightGBMDartParams

188.  def getUseBarrierExecutionMode: Boolean

     Definition Classes

     LightGBMExecutionParams

189.  def getUseMissing: Boolean

     Definition Classes

     LightGBMDatasetParams

190.  def getUseSingleDatasetMode: Boolean

     Definition Classes

     LightGBMExecutionParams

191.  def getValidationIndicatorCol: String
     Definition Classes

     HasValidationIndicatorCol

192.  def getVerbosity: Int

     Definition Classes

     LightGBMParams

193.  def getWeightCol: String
     Definition Classes

     HasWeightCol

194.  def getXGBoostDartMode: Boolean

     Definition Classes

     LightGBMDartParams

195.  def getZeroAsMissing: Boolean

     Definition Classes

     LightGBMDatasetParams

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

     Definition Classes

     Params

197.  def hasParam(paramName: String): Boolean

     Definition Classes

     Params

198.  def hashCode(): Int

     Definition Classes

     AnyRef → Any

     Annotations

     @native()

199.  val improvementTolerance: DoubleParam

     Definition Classes

     LightGBMLearnerParams

200.  def initPerformanceMeasures(batchCount: Int): Unit

     Attributes

     protected

     Definition Classes

     LightGBMPerformance

201.  val initScoreCol: Param[String]

     The name of the initial score column

     The name of the initial score column

     Definition Classes

     HasInitScoreCol

202.  def initializeLogIfNecessary(isInterpreter: Boolean, silent: Boolean): Boolean

     Attributes

     protected

     Definition Classes

     Logging

203.  def initializeLogIfNecessary(isInterpreter: Boolean): Unit

     Attributes

     protected

     Definition Classes

     Logging

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

     Definition Classes

     Params

205.  val isEnableSparse: BooleanParam

     Definition Classes

     LightGBMDatasetParams

206.  final def isInstanceOf[T0]: Boolean

     Definition Classes

     Any

207.  val isProvideTrainingMetric: BooleanParam

     Definition Classes

     LightGBMParams

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

     Definition Classes

     Params

209.  def isTraceEnabled(): Boolean

     Attributes

     protected

     Definition Classes

     Logging

210.  val isUnbalance: BooleanParam
211.  final val labelCol: Param[String]

     Definition Classes

     HasLabelCol

212.  val lambdaL1: DoubleParam

     Definition Classes

     LightGBMParams

213.  val lambdaL2: DoubleParam

     Definition Classes

     LightGBMParams

214.  val leafPredictionCol: Param[String]

     Definition Classes

     LightGBMPredictionParams

215.  val learningRate: DoubleParam

     Definition Classes

     LightGBMParams

216.  def log: Logger

     Attributes

     protected

     Definition Classes

     Logging

217.  def logBase(methodName: String): Unit

     Attributes

     protected

     Definition Classes

     BasicLogging

218.  def logClass(): Unit

     Definition Classes

     BasicLogging

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

     Attributes

     protected

     Definition Classes

     Logging

220.  def logDebug(msg: ⇒ String): Unit

     Attributes

     protected

     Definition Classes

     Logging

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

     Attributes

     protected

     Definition Classes

     Logging

222.  def logError(msg: ⇒ String): Unit

     Attributes

     protected

     Definition Classes

     Logging

223.  def logErrorBase(methodName: String, e: Exception): Unit

     Attributes

     protected

     Definition Classes

     BasicLogging

224.  def logFit[T](f: ⇒ T): T

     Definition Classes

     BasicLogging

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

     Attributes

     protected

     Definition Classes

     Logging

226.  def logInfo(msg: ⇒ String): Unit

     Attributes

     protected

     Definition Classes

     Logging

227.  def logName: String

     Attributes

     protected

     Definition Classes

     Logging

228.  def logPredict[T](f: ⇒ T): T

     Definition Classes

     BasicLogging

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

     Attributes

     protected

     Definition Classes

     Logging

230.  def logTrace(msg: ⇒ String): Unit

     Attributes

     protected

     Definition Classes

     Logging

231.  def logTrain[T](f: ⇒ T): T

     Definition Classes

     BasicLogging

232.  def logTransform[T](f: ⇒ T): T

     Definition Classes

     BasicLogging

233.  def logVerb[T](verb: String, f: ⇒ T): T

     Definition Classes

     BasicLogging

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

     Attributes

     protected

     Definition Classes

     Logging

235.  def logWarning(msg: ⇒ String): Unit

     Attributes

     protected

     Definition Classes

     Logging

236.  def makeDotnetFile(conf: CodegenConfig): Unit

     Definition Classes

     DotnetWrappable

237.  def makePyFile(conf: CodegenConfig): Unit

     Definition Classes

     PythonWrappable

238.  def makeRFile(conf: CodegenConfig): Unit

     Definition Classes

     RWrappable

239.  val matrixType: Param[String]

     Definition Classes

     LightGBMExecutionParams

240.  val maxBin: IntParam

     Definition Classes

     LightGBMBinParams

241.  val maxBinByFeature: IntArrayParam

     Definition Classes

     LightGBMParams

242.  val maxCatThreshold: IntParam

     Definition Classes

     LightGBMCategoricalParams

243.  val maxCatToOnehot: IntParam

     Definition Classes

     LightGBMCategoricalParams

244.  val maxDeltaStep: DoubleParam

     Definition Classes

     LightGBMParams

245.  val maxDepth: IntParam

     Definition Classes

     LightGBMParams

246.  val maxDrop: IntParam

     Definition Classes

     LightGBMDartParams

247.  val metric: Param[String]

     Definition Classes

     LightGBMParams

248.  val microBatchSize: IntParam

     Definition Classes

     LightGBMExecutionParams

249.  val minDataInLeaf: IntParam

     Definition Classes

     LightGBMParams

250.  val minDataPerBin: IntParam

     Definition Classes

     LightGBMParams

251.  val minDataPerGroup: IntParam

     Definition Classes

     LightGBMCategoricalParams

252.  val minGainToSplit: DoubleParam

     Definition Classes

     LightGBMParams

253.  val minSumHessianInLeaf: DoubleParam

     Definition Classes

     LightGBMParams

254.  val modelString: Param[String]

     Definition Classes

     LightGBMParams

255.  val monotoneConstraints: IntArrayParam

     Definition Classes

     LightGBMLearnerParams

256.  val monotoneConstraintsMethod: Param[String]

     Definition Classes

     LightGBMLearnerParams

257.  val monotonePenalty: DoubleParam

     Definition Classes

     LightGBMLearnerParams

258.  final def ne(arg0: AnyRef): Boolean

     Definition Classes

     AnyRef

259.  val negBaggingFraction: DoubleParam

     Definition Classes

     LightGBMFractionParams

260.  final def notify(): Unit

     Definition Classes

     AnyRef

     Annotations

     @native()

261.  final def notifyAll(): Unit

     Definition Classes

     AnyRef

     Annotations

     @native()

262.  val numBatches: IntParam

     Definition Classes

     LightGBMExecutionParams

263.  val numIterations: IntParam

     Definition Classes

     LightGBMParams

264.  val numLeaves: IntParam

     Definition Classes

     LightGBMParams

265.  val numTasks: IntParam

     Definition Classes

     LightGBMExecutionParams

266.  val numThreads: IntParam

     Definition Classes

     LightGBMExecutionParams

267.  val objective: Param[String]

     Definition Classes

     LightGBMObjectiveParams

268.  val objectiveSeed: IntParam

     Definition Classes

     LightGBMSeedParams

269.  val otherRate: DoubleParam

     Definition Classes

     LightGBMLearnerParams

270.  val parallelism: Param[String]

     Definition Classes

     LightGBMExecutionParams

271.  lazy val params: Array[Param[_]]

     Definition Classes

     Params

272.  val passThroughArgs: Param[String]

     Definition Classes

     LightGBMExecutionParams

273.  val posBaggingFraction: DoubleParam

     Definition Classes

     LightGBMFractionParams

274.  val predictDisableShapeCheck: BooleanParam

     Definition Classes

     LightGBMPredictionParams

275.  final val predictionCol: Param[String]

     Definition Classes

     HasPredictionCol

276.  def prepareDataframe(dataset: Dataset[_], numTasks: Int): DataFrame

     Attributes

     protected

     Definition Classes

     LightGBMBase

277.  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

278.  final val probabilityCol: Param[String]

     Definition Classes

     HasProbabilityCol

279.  def pyAdditionalMethods: String

     Definition Classes

     PythonWrappable

280.  lazy val pyClassDoc: String

     Attributes

     protected

     Definition Classes

     PythonWrappable

281.  lazy val pyClassName: String

     Attributes

     protected

     Definition Classes

     PythonWrappable

282.  def pyExtraEstimatorImports: String

     Attributes

     protected

     Definition Classes

     PythonWrappable

283.  def pyExtraEstimatorMethods: String

     Attributes

     protected

     Definition Classes

     PythonWrappable

284.  lazy val pyInheritedClasses: Seq[String]

     Attributes

     protected

     Definition Classes

     PythonWrappable

285.  def pyInitFunc(): String

     Definition Classes

     PythonWrappable

286.  lazy val pyInternalWrapper: Boolean

     Attributes

     protected

     Definition Classes

     PythonWrappable

287.  lazy val pyObjectBaseClass: String

     Attributes

     protected

     Definition Classes

     PythonWrappable

288.  def pyParamArg[T](p: Param[T]): String

     Attributes

     protected

     Definition Classes

     PythonWrappable

289.  def pyParamDefault[T](p: Param[T]): Option[String]

     Attributes

     protected

     Definition Classes

     PythonWrappable

290.  def pyParamGetter(p: Param[_]): String

     Attributes

     protected

     Definition Classes

     PythonWrappable

291.  def pyParamSetter(p: Param[_]): String

     Attributes

     protected

     Definition Classes

     PythonWrappable

292.  def pyParamsArgs: String

     Attributes

     protected

     Definition Classes

     PythonWrappable

293.  def pyParamsDefaults: String

     Attributes

     protected

     Definition Classes

     PythonWrappable

294.  lazy val pyParamsDefinitions: String

     Attributes

     protected

     Definition Classes

     PythonWrappable

295.  def pyParamsGetters: String

     Attributes

     protected

     Definition Classes

     PythonWrappable

296.  def pyParamsSetters: String

     Attributes

     protected

     Definition Classes

     PythonWrappable

297.  def pythonClass(): String

     Attributes

     protected

     Definition Classes

     PythonWrappable

298.  def rClass(): String

     Attributes

     protected

     Definition Classes

     RWrappable

299.  def rDocString: String

     Attributes

     protected

     Definition Classes

     RWrappable

300.  def rExtraBodyLines: String

     Attributes

     protected

     Definition Classes

     RWrappable

301.  def rExtraInitLines: String

     Attributes

     protected

     Definition Classes

     RWrappable

302.  lazy val rFuncName: String

     Attributes

     protected

     Definition Classes

     RWrappable

303.  lazy val rInternalWrapper: Boolean

     Attributes

     protected

     Definition Classes

     RWrappable

304.  def rParamArg[T](p: Param[T]): String

     Attributes

     protected

     Definition Classes

     RWrappable

305.  def rParamsArgs: String

     Attributes

     protected

     Definition Classes

     RWrappable

306.  def rSetterLines: String

     Attributes

     protected

     Definition Classes

     RWrappable

307.  final val rawPredictionCol: Param[String]

     Definition Classes

     HasRawPredictionCol

308.  val repartitionByGroupingColumn: BooleanParam

     Definition Classes

     LightGBMExecutionParams

309.  def save(path: String): Unit

     Definition Classes

     MLWritable

     Annotations

     @Since( "1.6.0" ) @throws( ... )

310.  val seed: IntParam

     Definition Classes

     LightGBMSeedParams

311.  final def set(paramPair: ParamPair[_]): LightGBMClassifier.this.type

     Attributes

     protected

     Definition Classes

     Params

312.  final def set(param: String, value: Any): LightGBMClassifier.this.type

     Attributes

     protected

     Definition Classes

     Params

313.  final def set[T](param: Param[T], value: T): LightGBMClassifier.this.type

     Definition Classes

     Params

314.  def setBaggingFraction(value: Double): LightGBMClassifier.this.type

     Definition Classes

     LightGBMFractionParams

315.  def setBaggingFreq(value: Int): LightGBMClassifier.this.type

     Definition Classes

     LightGBMParams

316.  def setBaggingSeed(value: Int): LightGBMClassifier.this.type

     Definition Classes

     LightGBMSeedParams

317.  def setBatchPerformanceMeasure(index: Int, measures: InstrumentationMeasures): Unit

     Attributes

     protected

     Definition Classes

     LightGBMPerformance

318.  def setBatchPerformanceMeasures(measures: Array[Option[InstrumentationMeasures]]): LightGBMClassifier.this.type

     Attributes

     protected

     Definition Classes

     LightGBMPerformance

319.  def setBinSampleCount(value: Int): LightGBMClassifier.this.type

     Definition Classes

     LightGBMBinParams

320.  def setBoostFromAverage(value: Boolean): LightGBMClassifier.this.type

     Definition Classes

     LightGBMParams

321.  def setBoostingType(value: String): LightGBMClassifier.this.type

     Definition Classes

     LightGBMParams

322.  def setCatSmooth(value: Double): LightGBMClassifier.this.type

     Definition Classes

     LightGBMCategoricalParams

323.  def setCategoricalSlotIndexes(value: Array[Int]): LightGBMClassifier.this.type

     Definition Classes

     LightGBMSlotParams

324.  def setCategoricalSlotNames(value: Array[String]): LightGBMClassifier.this.type

     Definition Classes

     LightGBMSlotParams

325.  def setCatl2(value: Double): LightGBMClassifier.this.type

     Definition Classes

     LightGBMCategoricalParams

326.  def setChunkSize(value: Int): LightGBMClassifier.this.type

     Definition Classes

     LightGBMExecutionParams

327.  def setDataRandomSeed(value: Int): LightGBMClassifier.this.type

     Definition Classes

     LightGBMSeedParams

328.  final def setDefault(paramPairs: ParamPair[_]*): LightGBMClassifier.this.type

     Attributes

     protected

     Definition Classes

     Params

329.  final def setDefault[T](param: Param[T], value: T): LightGBMClassifier.this.type

     Attributes

     protected

     Definition Classes

     Params

330.  def setDefaultListenPort(value: Int): LightGBMClassifier.this.type

     Definition Classes

     LightGBMExecutionParams

331.  def setDelegate(delegate: LightGBMDelegate): LightGBMClassifier.this.type

     Definition Classes

     LightGBMParams

332.  def setDeterministic(value: Boolean): LightGBMClassifier.this.type

     Definition Classes

     LightGBMSeedParams

333.  def setDriverListenPort(value: Int): LightGBMClassifier.this.type

     Definition Classes

     LightGBMExecutionParams

334.  def setDropRate(value: Double): LightGBMClassifier.this.type

     Definition Classes

     LightGBMDartParams

335.  def setDropSeed(value: Int): LightGBMClassifier.this.type

     Definition Classes

     LightGBMSeedParams

336.  def setEarlyStoppingRound(value: Int): LightGBMClassifier.this.type

     Definition Classes

     LightGBMLearnerParams

337.  def setExecutionMode(value: String): LightGBMClassifier.this.type

     Definition Classes

     LightGBMExecutionParams

338.  def setExtraSeed(value: Int): LightGBMClassifier.this.type

     Definition Classes

     LightGBMSeedParams

339.  def setFObj(value: FObjTrait): LightGBMClassifier.this.type

     Definition Classes

     LightGBMObjectiveParams

340.  def setFeatureFraction(value: Double): LightGBMClassifier.this.type

     Definition Classes

     LightGBMFractionParams

341.  def setFeatureFractionByNode(value: Double): LightGBMClassifier.this.type

     Definition Classes

     LightGBMFractionParams

342.  def setFeatureFractionSeed(value: Int): LightGBMClassifier.this.type

     Definition Classes

     LightGBMSeedParams

343.  def setFeaturesCol(value: String): LightGBMClassifier

     Definition Classes

     Predictor

344.  def setFeaturesShapCol(value: String): LightGBMClassifier.this.type

     Definition Classes

     LightGBMPredictionParams

345.  def setImprovementTolerance(value: Double): LightGBMClassifier.this.type

     Definition Classes

     LightGBMLearnerParams

346.  def setInitScoreCol(value: String): LightGBMClassifier.this.type
     Definition Classes

     HasInitScoreCol

347.  def setIsEnableSparse(value: Boolean): LightGBMClassifier.this.type

     Definition Classes

     LightGBMDatasetParams

348.  def setIsProvideTrainingMetric(value: Boolean): LightGBMClassifier.this.type

     Definition Classes

     LightGBMParams

349.  def setIsUnbalance(value: Boolean): LightGBMClassifier.this.type
350.  def setLabelCol(value: String): LightGBMClassifier

     Definition Classes

     Predictor

351.  def setLambdaL1(value: Double): LightGBMClassifier.this.type

     Definition Classes

     LightGBMParams

352.  def setLambdaL2(value: Double): LightGBMClassifier.this.type

     Definition Classes

     LightGBMParams

353.  def setLeafPredictionCol(value: String): LightGBMClassifier.this.type

     Definition Classes

     LightGBMPredictionParams

354.  def setLearningRate(value: Double): LightGBMClassifier.this.type

     Definition Classes

     LightGBMParams

355.  def setMatrixType(value: String): LightGBMClassifier.this.type

     Definition Classes

     LightGBMExecutionParams

356.  def setMaxBin(value: Int): LightGBMClassifier.this.type

     Definition Classes

     LightGBMBinParams

357.  def setMaxBinByFeature(value: Array[Int]): LightGBMClassifier.this.type

     Definition Classes

     LightGBMParams

358.  def setMaxCatThreshold(value: Int): LightGBMClassifier.this.type

     Definition Classes

     LightGBMCategoricalParams

359.  def setMaxCatToOnehot(value: Int): LightGBMClassifier.this.type

     Definition Classes

     LightGBMCategoricalParams

360.  def setMaxDeltaStep(value: Double): LightGBMClassifier.this.type

     Definition Classes

     LightGBMParams

361.  def setMaxDepth(value: Int): LightGBMClassifier.this.type

     Definition Classes

     LightGBMParams

362.  def setMaxDrop(value: Int): LightGBMClassifier.this.type

     Definition Classes

     LightGBMDartParams

363.  def setMetric(value: String): LightGBMClassifier.this.type

     Definition Classes

     LightGBMParams

364.  def setMicroBatchSize(value: Int): LightGBMClassifier.this.type

     Definition Classes

     LightGBMExecutionParams

365.  def setMinDataInLeaf(value: Int): LightGBMClassifier.this.type

     Definition Classes

     LightGBMParams

366.  def setMinDataPerBin(value: Int): LightGBMClassifier.this.type

     Definition Classes

     LightGBMParams

367.  def setMinDataPerGroup(value: Int): LightGBMClassifier.this.type

     Definition Classes

     LightGBMCategoricalParams

368.  def setMinGainToSplit(value: Double): LightGBMClassifier.this.type

     Definition Classes

     LightGBMParams

369.  def setMinSumHessianInLeaf(value: Double): LightGBMClassifier.this.type

     Definition Classes

     LightGBMParams

370.  def setModelString(value: String): LightGBMClassifier.this.type

     Definition Classes

     LightGBMParams

371.  def setMonotoneConstraints(value: Array[Int]): LightGBMClassifier.this.type

     Definition Classes

     LightGBMLearnerParams

372.  def setMonotoneConstraintsMethod(value: String): LightGBMClassifier.this.type

     Definition Classes

     LightGBMLearnerParams

373.  def setMonotonePenalty(value: Double): LightGBMClassifier.this.type

     Definition Classes

     LightGBMLearnerParams

374.  def setNegBaggingFraction(value: Double): LightGBMClassifier.this.type

     Definition Classes

     LightGBMFractionParams

375.  def setNumBatches(value: Int): LightGBMClassifier.this.type

     Definition Classes

     LightGBMExecutionParams

376.  def setNumIterations(value: Int): LightGBMClassifier.this.type

     Definition Classes

     LightGBMParams

377.  def setNumLeaves(value: Int): LightGBMClassifier.this.type

     Definition Classes

     LightGBMParams

378.  def setNumTasks(value: Int): LightGBMClassifier.this.type

     Definition Classes

     LightGBMExecutionParams

379.  def setNumThreads(value: Int): LightGBMClassifier.this.type

     Definition Classes

     LightGBMExecutionParams

380.  def setObjective(value: String): LightGBMClassifier.this.type

     Definition Classes

     LightGBMObjectiveParams

381.  def setObjectiveSeed(value: Int): LightGBMClassifier.this.type

     Definition Classes

     LightGBMSeedParams

382.  def setOtherRate(value: Double): LightGBMClassifier.this.type

     Definition Classes

     LightGBMLearnerParams

383.  def setParallelism(value: String): LightGBMClassifier.this.type

     Definition Classes

     LightGBMExecutionParams

384.  def setPassThroughArgs(value: String): LightGBMClassifier.this.type

     Definition Classes

     LightGBMExecutionParams

385.  def setPosBaggingFraction(value: Double): LightGBMClassifier.this.type

     Definition Classes

     LightGBMFractionParams

386.  def setPredictDisableShapeCheck(value: Boolean): LightGBMClassifier.this.type

     Definition Classes

     LightGBMPredictionParams

387.  def setPredictionCol(value: String): LightGBMClassifier

     Definition Classes

     Predictor

388.  def setProbabilityCol(value: String): LightGBMClassifier

     Definition Classes

     ProbabilisticClassifier

389.  def setRawPredictionCol(value: String): LightGBMClassifier

     Definition Classes

     Classifier

390.  def setRepartitionByGroupingColumn(value: Boolean): LightGBMClassifier.this.type

     Definition Classes

     LightGBMExecutionParams

391.  def setSeed(value: Int): LightGBMClassifier.this.type

     Definition Classes

     LightGBMSeedParams

392.  def setSkipDrop(value: Double): LightGBMClassifier.this.type

     Definition Classes

     LightGBMDartParams

393.  def setSlotNames(value: Array[String]): LightGBMClassifier.this.type

     Definition Classes

     LightGBMSlotParams

394.  def setThresholds(value: Array[Double]): LightGBMClassifier

     Definition Classes

     ProbabilisticClassifier

395.  def setTimeout(value: Double): LightGBMClassifier.this.type

     Definition Classes

     LightGBMExecutionParams

396.  def setTopK(value: Int): LightGBMClassifier.this.type

     Definition Classes

     LightGBMExecutionParams

397.  def setTopRate(value: Double): LightGBMClassifier.this.type

     Definition Classes

     LightGBMLearnerParams

398.  def setUniformDrop(value: Boolean): LightGBMClassifier.this.type

     Definition Classes

     LightGBMDartParams

399.  def setUseBarrierExecutionMode(value: Boolean): LightGBMClassifier.this.type

     Definition Classes

     LightGBMExecutionParams

400.  def setUseMissing(value: Boolean): LightGBMClassifier.this.type

     Definition Classes

     LightGBMDatasetParams

401.  def setUseSingleDatasetMode(value: Boolean): LightGBMClassifier.this.type

     Definition Classes

     LightGBMExecutionParams

402.  def setValidationIndicatorCol(value: String): LightGBMClassifier.this.type
     Definition Classes

     HasValidationIndicatorCol

403.  def setVerbosity(value: Int): LightGBMClassifier.this.type

     Definition Classes

     LightGBMParams

404.  def setWeightCol(value: String): LightGBMClassifier.this.type
     Definition Classes

     HasWeightCol

405.  def setXGBoostDartMode(value: Boolean): LightGBMClassifier.this.type

     Definition Classes

     LightGBMDartParams

406.  def setZeroAsMissing(value: Boolean): LightGBMClassifier.this.type

     Definition Classes

     LightGBMDatasetParams

407.  val skipDrop: DoubleParam

     Definition Classes

     LightGBMDartParams

408.  val slotNames: StringArrayParam

     Definition Classes

     LightGBMSlotParams

409.  def stringFromTrainedModel(model: LightGBMClassificationModel): String

     Definition Classes

     LightGBMClassifier → LightGBMBase

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

     Definition Classes

     AnyRef

411.  val thisStage: Params

     Attributes

     protected

     Definition Classes

     BaseWrappable

412.  val thresholds: DoubleArrayParam

     Definition Classes

     HasThresholds

413.  val timeout: DoubleParam

     Definition Classes

     LightGBMExecutionParams

414.  def toString(): String

     Definition Classes

     Identifiable → AnyRef → Any

415.  val topK: IntParam

     Definition Classes

     LightGBMExecutionParams

416.  val topRate: DoubleParam

     Definition Classes

     LightGBMLearnerParams

417.  def train(dataset: Dataset[_]): LightGBMClassificationModel

     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

418.  def trainOneDataBatch(dataset: Dataset[_], batchIndex: Int, batchCount: Int): LightGBMClassificationModel

     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

     Definition Classes

     LightGBMBase

419.  def transformSchema(schema: StructType): StructType

     Definition Classes

     Predictor → PipelineStage

420.  def transformSchema(schema: StructType, logging: Boolean): StructType

     Attributes

     protected

     Definition Classes

     PipelineStage

     Annotations

     @DeveloperApi()

421.  val uid: String

     Definition Classes

     LightGBMClassifier → BasicLogging → Identifiable

422.  val uniformDrop: BooleanParam

     Definition Classes

     LightGBMDartParams

423.  val useBarrierExecutionMode: BooleanParam

     Definition Classes

     LightGBMExecutionParams

424.  val useMissing: BooleanParam

     Definition Classes

     LightGBMDatasetParams

425.  val useSingleDatasetMode: BooleanParam

     Definition Classes

     LightGBMExecutionParams

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

     Attributes

     protected

     Definition Classes

     ProbabilisticClassifierParams → ClassifierParams → PredictorParams

427.  def validateLabel(label: Double, numClasses: Int): Unit

     Attributes

     protected

     Definition Classes

     Classifier

428.  def validateNumClasses(numClasses: Int): Unit

     Attributes

     protected

     Definition Classes

     Classifier

429.  val validationIndicatorCol: Param[String]

     The name of the validation indicator column

     The name of the validation indicator column

     Definition Classes

     HasValidationIndicatorCol

430.  val ver: String

     Definition Classes

     BasicLogging

431.  val verbosity: IntParam

     Definition Classes

     LightGBMParams

432.  final def wait(): Unit

     Definition Classes

     AnyRef

     Annotations

     @throws( ... )

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

     Definition Classes

     AnyRef

     Annotations

     @throws( ... )

434.  final def wait(arg0: Long): Unit

     Definition Classes

     AnyRef

     Annotations

     @throws( ... ) @native()

435.  val weightCol: Param[String]

     The name of the weight column

     The name of the weight column

     Definition Classes

     HasWeightCol

436.  def write: MLWriter

     Definition Classes

     DefaultParamsWritable → MLWritable

437.  val xGBoostDartMode: BooleanParam

     Definition Classes

     LightGBMDartParams

438.  val zeroAsMissing: BooleanParam

     Definition Classes

     LightGBMDatasetParams