LightGBMRegressor

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 additionalPythonMethods(): String

   

   Definition Classes

   HasAdditionalPythonMethods

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

   

   Definition Classes

   LightGBMBase

7. val alpha: DoubleParam

   

8. final def asInstanceOf[T0]: T0

   

   Definition Classes

   Any

9. val baggingFraction: DoubleParam

   

   Definition Classes

   LightGBMFractionParams

10. val baggingFreq: IntParam

    

    Definition Classes

    LightGBMParams

11. val baggingSeed: IntParam

    

    Definition Classes

    LightGBMParams

12. def beforeTrainBatch(batchIndex: Int, dataset: Dataset[_], model: Option[LightGBMRegressionModel]): Unit

    

    Definition Classes

    LightGBMBase

13. val binSampleCount: IntParam

    

    Definition Classes

    LightGBMBinParams

14. val boostFromAverage: BooleanParam

    

    Definition Classes

    LightGBMParams

15. val boostingType: Param[String]

    

    Definition Classes

    LightGBMParams

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

    

    Attributes

    protected

    Definition Classes

    LightGBMBase

17. val categoricalSlotIndexes: IntArrayParam

    

    Definition Classes

    LightGBMSlotParams

18. val categoricalSlotNames: StringArrayParam

    

    Definition Classes

    LightGBMSlotParams

19. final def clear(param: Param[_]): LightGBMRegressor.this.type

    

    Definition Classes

    Params

20. def clone(): AnyRef

    

    Attributes

    protected[java.lang]

    Definition Classes

    AnyRef

    Annotations

    @throws( ... )

21. def copy(extra: ParamMap): LightGBMRegressor

    

    Definition Classes

    LightGBMRegressor → Predictor → Estimator → PipelineStage → Params

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

    

    Attributes

    protected

    Definition Classes

    Params

23. final def defaultCopy[T <: Params](extra: ParamMap): T

    

    Attributes

    protected

    Definition Classes

    Params

24. val defaultListenPort: IntParam

    

    Definition Classes

    LightGBMExecutionParams

25. var delegate: Option[LightGBMDelegate]

    

    Definition Classes

    LightGBMParams

26. val driverListenPort: IntParam

    

    Definition Classes

    LightGBMExecutionParams

27. val earlyStoppingRound: IntParam

    

    Definition Classes

    LightGBMLearnerParams

28. final def eq(arg0: AnyRef): Boolean

    

    Definition Classes

    AnyRef

29. def equals(arg0: Any): Boolean

    

    Definition Classes

    AnyRef → Any

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

    

    Definition Classes

    Params

31. def explainParams(): String

    

    Definition Classes

    Params

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

    

    Attributes

    protected

    Definition Classes

    Predictor

33. final def extractParamMap(): ParamMap

    

    Definition Classes

    Params

34. final def extractParamMap(extra: ParamMap): ParamMap

    

    Definition Classes

    Params

35. val featureFraction: DoubleParam

    

    Definition Classes

    LightGBMFractionParams

36. final val featuresCol: Param[String]

    

    Definition Classes

    HasFeaturesCol

37. val featuresShapCol: Param[String]

    

    Definition Classes

    LightGBMPredictionParams

38. def finalize(): Unit

    

    Attributes

    protected[java.lang]

    Definition Classes

    AnyRef

    Annotations

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

39. def fit(dataset: Dataset[_]): LightGBMRegressionModel

    

    Definition Classes

    Predictor → Estimator

40. def fit(dataset: Dataset[_], paramMaps: Array[ParamMap]): Seq[LightGBMRegressionModel]

    

    Definition Classes

    Estimator

    Annotations

    @Since( "2.0.0" )

41. def fit(dataset: Dataset[_], paramMap: ParamMap): LightGBMRegressionModel

    

    Definition Classes

    Estimator

    Annotations

    @Since( "2.0.0" )

42. def fit(dataset: Dataset[_], firstParamPair: ParamPair[_], otherParamPairs: ParamPair[_]*): LightGBMRegressionModel

    

    Definition Classes

    Estimator

    Annotations

    @Since( "2.0.0" ) @varargs()

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

    

    Definition Classes

    Params

44. def getAlpha: Double

    

45. def getBaggingFraction: Double

    

    Definition Classes

    LightGBMFractionParams

46. def getBaggingFreq: Int

    

    Definition Classes

    LightGBMParams

47. def getBaggingSeed: Int

    

    Definition Classes

    LightGBMParams

48. def getBinSampleCount: Int

    

    Definition Classes

    LightGBMBinParams

49. def getBoostFromAverage: Boolean

    

    Definition Classes

    LightGBMParams

50. def getBoostingType: String

    

    Definition Classes

    LightGBMParams

51. def getCategoricalSlotIndexes: Array[Int]

    

    Definition Classes

    LightGBMSlotParams

52. def getCategoricalSlotNames: Array[String]

    

    Definition Classes

    LightGBMSlotParams

53. final def getClass(): Class[_]

    

    Definition Classes

    AnyRef → Any

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

    

    Definition Classes

    Params

55. def getDefaultListenPort: Int

    

    Definition Classes

    LightGBMExecutionParams

56. def getDelegate: Option[LightGBMDelegate]

    

    Definition Classes

    LightGBMParams

57. def getDriverListenPort: Int

    

    Definition Classes

    LightGBMExecutionParams

58. def getEarlyStoppingRound: Int

    

    Definition Classes

    LightGBMLearnerParams

59. def getFeatureFraction: Double

    

    Definition Classes

    LightGBMFractionParams

60. final def getFeaturesCol: String

    

    Definition Classes

    HasFeaturesCol

61. def getFeaturesShapCol: String

    

    Definition Classes

    LightGBMPredictionParams

62. def getImprovementTolerance: Double

    

    Definition Classes

    LightGBMLearnerParams

63. def getInitScoreCol: String

    
    Definition Classes

    HasInitScoreCol

64. def getIsProvideTrainingMetric: Boolean

    

    Definition Classes

    LightGBMParams

65. final def getLabelCol: String

    

    Definition Classes

    HasLabelCol

66. def getLambdaL1: Double

    

    Definition Classes

    LightGBMParams

67. def getLambdaL2: Double

    

    Definition Classes

    LightGBMParams

68. def getLeafPredictionCol: String

    

    Definition Classes

    LightGBMPredictionParams

69. def getLearningRate: Double

    

    Definition Classes

    LightGBMParams

70. def getMaxBin: Int

    

    Definition Classes

    LightGBMBinParams

71. def getMaxBinByFeature: Array[Int]

    

    Definition Classes

    LightGBMParams

72. def getMaxDeltaStep: Double

    

    Definition Classes

    LightGBMParams

73. def getMaxDepth: Int

    

    Definition Classes

    LightGBMParams

74. def getMetric: String

    

    Definition Classes

    LightGBMParams

75. def getMinDataInLeaf: Int

    

    Definition Classes

    LightGBMParams

76. def getMinGainToSplit: Double

    

    Definition Classes

    LightGBMParams

77. def getMinSumHessianInLeaf: Double

    

    Definition Classes

    LightGBMParams

78. def getModel(trainParams: TrainParams, lightGBMBooster: LightGBMBooster): LightGBMRegressionModel

    

    Gets the trained model given the train parameters and booster.

    Gets the trained model given the train parameters and booster.

    returns

    trained model.

    Definition Classes

    LightGBMRegressor → LightGBMBase

79. def getModelString: String

    

    Definition Classes

    LightGBMParams

80. def getNegBaggingFraction: Double

    

    Definition Classes

    LightGBMFractionParams

81. def getNumBatches: Int

    

    Definition Classes

    LightGBMExecutionParams

82. def getNumIterations: Int

    

    Definition Classes

    LightGBMParams

83. def getNumLeaves: Int

    

    Definition Classes

    LightGBMParams

84. def getNumTasks: Int

    

    Definition Classes

    LightGBMExecutionParams

85. def getObjective: String

    

    Definition Classes

    LightGBMParams

86. 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

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

    

    Definition Classes

    Params

88. def getParallelism: String

    

    Definition Classes

    LightGBMExecutionParams

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

    

    Definition Classes

    Params

90. def getPosBaggingFraction: Double

    

    Definition Classes

    LightGBMFractionParams

91. final def getPredictionCol: String

    

    Definition Classes

    HasPredictionCol

92. def getRepartitionByGroupingColumn: Boolean

    

    Definition Classes

    LightGBMExecutionParams

93. def getSlotNames: Array[String]

    

    Definition Classes

    LightGBMSlotParams

94. def getTimeout: Double

    

    Definition Classes

    LightGBMExecutionParams

95. def getTopK: Int

    

    Definition Classes

    LightGBMExecutionParams

96. def getTrainParams(numTasks: Int, categoricalIndexes: Array[Int], dataset: Dataset[_]): TrainParams

    

    Gets the training parameters.

    Gets the training parameters.

    returns

    train parameters.

    Definition Classes

    LightGBMRegressor → LightGBMBase

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

    

    Attributes

    protected

    Definition Classes

    LightGBMBase

98. def getTweedieVariancePower: Double

    

99. def getUseBarrierExecutionMode: Boolean

    

    Definition Classes

    LightGBMExecutionParams

100. def getValidationIndicatorCol: String

     
     Definition Classes

     HasValidationIndicatorCol

101. def getVerbosity: Int

     

     Definition Classes

     LightGBMParams

102. def getWeightCol: String

     
     Definition Classes

     HasWeightCol

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

     

     Definition Classes

     Params

104. def hasParam(paramName: String): Boolean

     

     Definition Classes

     Params

105. def hashCode(): Int

     

     Definition Classes

     AnyRef → Any

106. val improvementTolerance: DoubleParam

     

     Definition Classes

     LightGBMLearnerParams

107. val initScoreCol: Param[String]

     

     The name of the initial score column

     The name of the initial score column

     Definition Classes

     HasInitScoreCol

108. def initializeLogIfNecessary(isInterpreter: Boolean, silent: Boolean): Boolean

     

     Attributes

     protected

     Definition Classes

     Logging

109. def initializeLogIfNecessary(isInterpreter: Boolean): Unit

     

     Attributes

     protected

     Definition Classes

     Logging

110. def innerTrain(dataset: Dataset[_], batchIndex: Int): LightGBMRegressionModel

     

     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

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

     

     Definition Classes

     Params

112. final def isInstanceOf[T0]: Boolean

     

     Definition Classes

     Any

113. val isProvideTrainingMetric: BooleanParam

     

     Definition Classes

     LightGBMParams

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

     

     Definition Classes

     Params

115. def isTraceEnabled(): Boolean

     

     Attributes

     protected

     Definition Classes

     Logging

116. final val labelCol: Param[String]

     

     Definition Classes

     HasLabelCol

117. val lambdaL1: DoubleParam

     

     Definition Classes

     LightGBMParams

118. val lambdaL2: DoubleParam

     

     Definition Classes

     LightGBMParams

119. val leafPredictionCol: Param[String]

     

     Definition Classes

     LightGBMPredictionParams

120. val learningRate: DoubleParam

     

     Definition Classes

     LightGBMParams

121. def log: Logger

     

     Attributes

     protected

     Definition Classes

     Logging

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

     

     Attributes

     protected

     Definition Classes

     Logging

123. def logDebug(msg: ⇒ String): Unit

     

     Attributes

     protected

     Definition Classes

     Logging

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

     

     Attributes

     protected

     Definition Classes

     Logging

125. def logError(msg: ⇒ String): Unit

     

     Attributes

     protected

     Definition Classes

     Logging

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

     

     Attributes

     protected

     Definition Classes

     Logging

127. def logInfo(msg: ⇒ String): Unit

     

     Attributes

     protected

     Definition Classes

     Logging

128. def logName: String

     

     Attributes

     protected

     Definition Classes

     Logging

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

     

     Attributes

     protected

     Definition Classes

     Logging

130. def logTrace(msg: ⇒ String): Unit

     

     Attributes

     protected

     Definition Classes

     Logging

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

     

     Attributes

     protected

     Definition Classes

     Logging

132. def logWarning(msg: ⇒ String): Unit

     

     Attributes

     protected

     Definition Classes

     Logging

133. val maxBin: IntParam

     

     Definition Classes

     LightGBMBinParams

134. val maxBinByFeature: IntArrayParam

     

     Definition Classes

     LightGBMParams

135. val maxDeltaStep: DoubleParam

     

     Definition Classes

     LightGBMParams

136. val maxDepth: IntParam

     

     Definition Classes

     LightGBMParams

137. val metric: Param[String]

     

     Definition Classes

     LightGBMParams

138. val minDataInLeaf: IntParam

     

     Definition Classes

     LightGBMParams

139. val minGainToSplit: DoubleParam

     

     Definition Classes

     LightGBMParams

140. val minSumHessianInLeaf: DoubleParam

     

     Definition Classes

     LightGBMParams

141. val modelString: Param[String]

     

     Definition Classes

     LightGBMParams

142. final def ne(arg0: AnyRef): Boolean

     

     Definition Classes

     AnyRef

143. val negBaggingFraction: DoubleParam

     

     Definition Classes

     LightGBMFractionParams

144. final def notify(): Unit

     

     Definition Classes

     AnyRef

145. final def notifyAll(): Unit

     

     Definition Classes

     AnyRef

146. val numBatches: IntParam

     

     Definition Classes

     LightGBMExecutionParams

147. val numIterations: IntParam

     

     Definition Classes

     LightGBMParams

148. val numLeaves: IntParam

     

     Definition Classes

     LightGBMParams

149. val numTasks: IntParam

     

     Definition Classes

     LightGBMExecutionParams

150. val objective: Param[String]

     

     Definition Classes

     LightGBMParams

151. val parallelism: Param[String]

     

     Definition Classes

     LightGBMExecutionParams

152. lazy val params: Array[Param[_]]

     

     Definition Classes

     Params

153. val posBaggingFraction: DoubleParam

     

     Definition Classes

     LightGBMFractionParams

154. final val predictionCol: Param[String]

     

     Definition Classes

     HasPredictionCol

155. def prepareDataframe(dataset: Dataset[_], trainingCols: Array[(String, Seq[DataType])], numTasks: Int): DataFrame

     

     Attributes

     protected

     Definition Classes

     LightGBMBase

156. def preprocessData(dataset: DataFrame): DataFrame

     

     Allow algorithm specific preprocessing of dataset.

     Allow algorithm specific preprocessing of dataset.

     dataset

     The dataset to preprocess prior to training.

     returns

     The preprocessed data.

     Attributes

     protected

     Definition Classes

     LightGBMBase

157. val repartitionByGroupingColumn: BooleanParam

     

     Definition Classes

     LightGBMExecutionParams

158. def save(path: String): Unit

     

     Definition Classes

     MLWritable

     Annotations

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

159. final def set(paramPair: ParamPair[_]): LightGBMRegressor.this.type

     

     Attributes

     protected

     Definition Classes

     Params

160. final def set(param: String, value: Any): LightGBMRegressor.this.type

     

     Attributes

     protected

     Definition Classes

     Params

161. final def set[T](param: Param[T], value: T): LightGBMRegressor.this.type

     

     Definition Classes

     Params

162. def setAlpha(value: Double): LightGBMRegressor.this.type

     

163. def setBaggingFraction(value: Double): LightGBMRegressor.this.type

     

     Definition Classes

     LightGBMFractionParams

164. def setBaggingFreq(value: Int): LightGBMRegressor.this.type

     

     Definition Classes

     LightGBMParams

165. def setBaggingSeed(value: Int): LightGBMRegressor.this.type

     

     Definition Classes

     LightGBMParams

166. def setBinSampleCount(value: Int): LightGBMRegressor.this.type

     

     Definition Classes

     LightGBMBinParams

167. def setBoostFromAverage(value: Boolean): LightGBMRegressor.this.type

     

     Definition Classes

     LightGBMParams

168. def setBoostingType(value: String): LightGBMRegressor.this.type

     

     Definition Classes

     LightGBMParams

169. def setCategoricalSlotIndexes(value: Array[Int]): LightGBMRegressor.this.type

     

     Definition Classes

     LightGBMSlotParams

170. def setCategoricalSlotNames(value: Array[String]): LightGBMRegressor.this.type

     

     Definition Classes

     LightGBMSlotParams

171. final def setDefault(paramPairs: ParamPair[_]*): LightGBMRegressor.this.type

     

     Attributes

     protected

     Definition Classes

     Params

172. final def setDefault[T](param: Param[T], value: T): LightGBMRegressor.this.type

     

     Attributes

     protected

     Definition Classes

     Params

173. def setDefaultListenPort(value: Int): LightGBMRegressor.this.type

     

     Definition Classes

     LightGBMExecutionParams

174. def setDelegate(delegate: LightGBMDelegate): LightGBMRegressor.this.type

     

     Definition Classes

     LightGBMParams

175. def setDriverListenPort(value: Int): LightGBMRegressor.this.type

     

     Definition Classes

     LightGBMExecutionParams

176. def setEarlyStoppingRound(value: Int): LightGBMRegressor.this.type

     

     Definition Classes

     LightGBMLearnerParams

177. def setFeatureFraction(value: Double): LightGBMRegressor.this.type

     

     Definition Classes

     LightGBMFractionParams

178. def setFeaturesCol(value: String): LightGBMRegressor

     

     Definition Classes

     Predictor

179. def setFeaturesShapCol(value: String): LightGBMRegressor.this.type

     

     Definition Classes

     LightGBMPredictionParams

180. def setImprovementTolerance(value: Double): LightGBMRegressor.this.type

     

     Definition Classes

     LightGBMLearnerParams

181. def setInitScoreCol(value: String): LightGBMRegressor.this.type

     
     Definition Classes

     HasInitScoreCol

182. def setIsProvideTrainingMetric(value: Boolean): LightGBMRegressor.this.type

     

     Definition Classes

     LightGBMParams

183. def setLabelCol(value: String): LightGBMRegressor

     

     Definition Classes

     Predictor

184. def setLambdaL1(value: Double): LightGBMRegressor.this.type

     

     Definition Classes

     LightGBMParams

185. def setLambdaL2(value: Double): LightGBMRegressor.this.type

     

     Definition Classes

     LightGBMParams

186. def setLeafPredictionCol(value: String): LightGBMRegressor.this.type

     

     Definition Classes

     LightGBMPredictionParams

187. def setLearningRate(value: Double): LightGBMRegressor.this.type

     

     Definition Classes

     LightGBMParams

188. def setMaxBin(value: Int): LightGBMRegressor.this.type

     

     Definition Classes

     LightGBMBinParams

189. def setMaxBinByFeature(value: Array[Int]): LightGBMRegressor.this.type

     

     Definition Classes

     LightGBMParams

190. def setMaxDeltaStep(value: Double): LightGBMRegressor.this.type

     

     Definition Classes

     LightGBMParams

191. def setMaxDepth(value: Int): LightGBMRegressor.this.type

     

     Definition Classes

     LightGBMParams

192. def setMetric(value: String): LightGBMRegressor.this.type

     

     Definition Classes

     LightGBMParams

193. def setMinDataInLeaf(value: Int): LightGBMRegressor.this.type

     

     Definition Classes

     LightGBMParams

194. def setMinGainToSplit(value: Double): LightGBMRegressor.this.type

     

     Definition Classes

     LightGBMParams

195. def setMinSumHessianInLeaf(value: Double): LightGBMRegressor.this.type

     

     Definition Classes

     LightGBMParams

196. def setModelString(value: String): LightGBMRegressor.this.type

     

     Definition Classes

     LightGBMParams

197. def setNegBaggingFraction(value: Double): LightGBMRegressor.this.type

     

     Definition Classes

     LightGBMFractionParams

198. def setNumBatches(value: Int): LightGBMRegressor.this.type

     

     Definition Classes

     LightGBMExecutionParams

199. def setNumIterations(value: Int): LightGBMRegressor.this.type

     

     Definition Classes

     LightGBMParams

200. def setNumLeaves(value: Int): LightGBMRegressor.this.type

     

     Definition Classes

     LightGBMParams

201. def setNumTasks(value: Int): LightGBMRegressor.this.type

     

     Definition Classes

     LightGBMExecutionParams

202. def setObjective(value: String): LightGBMRegressor.this.type

     

     Definition Classes

     LightGBMParams

203. def setParallelism(value: String): LightGBMRegressor.this.type

     

     Definition Classes

     LightGBMExecutionParams

204. def setPosBaggingFraction(value: Double): LightGBMRegressor.this.type

     

     Definition Classes

     LightGBMFractionParams

205. def setPredictionCol(value: String): LightGBMRegressor

     

     Definition Classes

     Predictor

206. def setRepartitionByGroupingColumn(value: Boolean): LightGBMRegressor.this.type

     

     Definition Classes

     LightGBMExecutionParams

207. def setSlotNames(value: Array[String]): LightGBMRegressor.this.type

     

     Definition Classes

     LightGBMSlotParams

208. def setTimeout(value: Double): LightGBMRegressor.this.type

     

     Definition Classes

     LightGBMExecutionParams

209. def setTopK(value: Int): LightGBMRegressor.this.type

     

     Definition Classes

     LightGBMExecutionParams

210. def setTweedieVariancePower(value: Double): LightGBMRegressor.this.type

     

211. def setUseBarrierExecutionMode(value: Boolean): LightGBMRegressor.this.type

     

     Definition Classes

     LightGBMExecutionParams

212. def setValidationIndicatorCol(value: String): LightGBMRegressor.this.type

     
     Definition Classes

     HasValidationIndicatorCol

213. def setVerbosity(value: Int): LightGBMRegressor.this.type

     

     Definition Classes

     LightGBMParams

214. def setWeightCol(value: String): LightGBMRegressor.this.type

     
     Definition Classes

     HasWeightCol

215. val slotNames: StringArrayParam

     

     Definition Classes

     LightGBMSlotParams

216. def stringFromTrainedModel(model: LightGBMRegressionModel): String

     

     Definition Classes

     LightGBMRegressor → LightGBMBase

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

     

     Definition Classes

     AnyRef

218. val timeout: DoubleParam

     

     Definition Classes

     LightGBMExecutionParams

219. def toString(): String

     

     Definition Classes

     Identifiable → AnyRef → Any

220. val topK: IntParam

     

     Definition Classes

     LightGBMExecutionParams

221. def train(dataset: Dataset[_]): LightGBMRegressionModel

     

     Trains the LightGBM model.

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

     dataset

     The input dataset to train.

     returns

     The trained model.

     Attributes

     protected

     Definition Classes

     LightGBMBase

222. def transformSchema(schema: StructType): StructType

     

     Definition Classes

     Predictor → PipelineStage

223. def transformSchema(schema: StructType, logging: Boolean): StructType

     

     Attributes

     protected

     Definition Classes

     PipelineStage

     Annotations

     @DeveloperApi()

224. val tweedieVariancePower: DoubleParam

     

225. val uid: String

     

     The unique ID.

     The unique ID.

     Definition Classes

     LightGBMRegressor → Identifiable

226. val useBarrierExecutionMode: BooleanParam

     

     Definition Classes

     LightGBMExecutionParams

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

     

     Attributes

     protected

     Definition Classes

     PredictorParams

228. val validationIndicatorCol: Param[String]

     

     The name of the validation indicator column

     The name of the validation indicator column

     Definition Classes

     HasValidationIndicatorCol

229. val verbosity: IntParam

     

     Definition Classes

     LightGBMParams

230. final def wait(): Unit

     

     Definition Classes

     AnyRef

     Annotations

     @throws( ... )

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

     

     Definition Classes

     AnyRef

     Annotations

     @throws( ... )

232. final def wait(arg0: Long): Unit

     

     Definition Classes

     AnyRef

     Annotations

     @throws( ... )

233. val weightCol: Param[String]

     

     The name of the weight column

     The name of the weight column

     Definition Classes

     HasWeightCol

234. def write: MLWriter

     

     Definition Classes

     DefaultParamsWritable → MLWritable