LightGBMClassifier

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: 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

    LightGBMParams

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

    

    Attributes

    protected

    Definition Classes

    LightGBMBase

16. val categoricalSlotIndexes: IntArrayParam

    

    Definition Classes

    LightGBMSlotParams

17. val categoricalSlotNames: StringArrayParam

    

    Definition Classes

    LightGBMSlotParams

18. final def clear(param: Param[_]): LightGBMClassifier.this.type

    

    Definition Classes

    Params

19. def clone(): AnyRef

    

    Attributes

    protected[java.lang]

    Definition Classes

    AnyRef

    Annotations

    @throws( ... )

20. def copy(extra: ParamMap): LightGBMClassifier

    

    Definition Classes

    LightGBMClassifier → Predictor → Estimator → PipelineStage → Params

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

    

    Attributes

    protected

    Definition Classes

    Params

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

    

    Attributes

    protected

    Definition Classes

    Params

23. val defaultListenPort: IntParam

    

    Definition Classes

    LightGBMExecutionParams

24. var delegate: Option[LightGBMDelegate]

    

    Definition Classes

    LightGBMParams

25. val driverListenPort: IntParam

    

    Definition Classes

    LightGBMExecutionParams

26. val earlyStoppingRound: IntParam

    

    Definition Classes

    LightGBMLearnerParams

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

    

    Definition Classes

    AnyRef

28. def equals(arg0: Any): Boolean

    

    Definition Classes

    AnyRef → Any

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

    

    Definition Classes

    Params

30. def explainParams(): String

    

    Definition Classes

    Params

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

    

    Attributes

    protected

    Definition Classes

    Classifier

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[_]): LightGBMClassificationModel

    

    Definition Classes

    Predictor → Estimator

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

    

    Definition Classes

    Estimator

    Annotations

    @Since( "2.0.0" )

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

    

    Definition Classes

    Estimator

    Annotations

    @Since( "2.0.0" )

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

    

    Definition Classes

    Estimator

    Annotations

    @Since( "2.0.0" ) @varargs()

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

    

    Definition Classes

    Params

44. def getBaggingFraction: Double

    

    Definition Classes

    LightGBMFractionParams

45. def getBaggingFreq: Int

    

    Definition Classes

    LightGBMParams

46. def getBaggingSeed: Int

    

    Definition Classes

    LightGBMParams

47. def getBinSampleCount: Int

    

    Definition Classes

    LightGBMBinParams

48. def getBoostFromAverage: Boolean

    

    Definition Classes

    LightGBMParams

49. def getBoostingType: String

    

    Definition Classes

    LightGBMParams

50. def getCategoricalSlotIndexes: Array[Int]

    

    Definition Classes

    LightGBMSlotParams

51. def getCategoricalSlotNames: Array[String]

    

    Definition Classes

    LightGBMSlotParams

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

    

    Definition Classes

    AnyRef → Any

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

    

    Definition Classes

    Params

54. def getDefaultListenPort: Int

    

    Definition Classes

    LightGBMExecutionParams

55. def getDelegate: Option[LightGBMDelegate]

    

    Definition Classes

    LightGBMParams

56. def getDriverListenPort: Int

    

    Definition Classes

    LightGBMExecutionParams

57. def getEarlyStoppingRound: Int

    

    Definition Classes

    LightGBMLearnerParams

58. def getFeatureFraction: Double

    

    Definition Classes

    LightGBMFractionParams

59. final def getFeaturesCol: String

    

    Definition Classes

    HasFeaturesCol

60. def getFeaturesShapCol: String

    

    Definition Classes

    LightGBMPredictionParams

61. def getImprovementTolerance: Double

    

    Definition Classes

    LightGBMLearnerParams

62. def getInitScoreCol: String

    
    Definition Classes

    HasInitScoreCol

63. def getIsProvideTrainingMetric: Boolean

    

    Definition Classes

    LightGBMParams

64. def getIsUnbalance: Boolean

    

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): 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

79. def getModelString: String

    

    Definition Classes

    LightGBMParams

80. def getNegBaggingFraction: Double

    

    Definition Classes

    LightGBMFractionParams

81. def getNumBatches: Int

    

    Definition Classes

    LightGBMExecutionParams

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

    

    Attributes

    protected

    Definition Classes

    Classifier

83. def getNumIterations: Int

    

    Definition Classes

    LightGBMParams

84. def getNumLeaves: Int

    

    Definition Classes

    LightGBMParams

85. def getNumTasks: Int

    

    Definition Classes

    LightGBMExecutionParams

86. def getObjective: String

    

    Definition Classes

    LightGBMParams

87. 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

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

    

    Definition Classes

    Params

89. def getParallelism: String

    

    Definition Classes

    LightGBMExecutionParams

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

    

    Definition Classes

    Params

91. def getPosBaggingFraction: Double

    

    Definition Classes

    LightGBMFractionParams

92. final def getPredictionCol: String

    

    Definition Classes

    HasPredictionCol

93. final def getProbabilityCol: String

    

    Definition Classes

    HasProbabilityCol

94. final def getRawPredictionCol: String

    

    Definition Classes

    HasRawPredictionCol

95. def getRepartitionByGroupingColumn: Boolean

    

    Definition Classes

    LightGBMExecutionParams

96. def getSlotNames: Array[String]

    

    Definition Classes

    LightGBMSlotParams

97. def getThresholds: Array[Double]

    

    Definition Classes

    HasThresholds

98. def getTimeout: Double

    

    Definition Classes

    LightGBMExecutionParams

99. def getTopK: Int

    

    Definition Classes

    LightGBMExecutionParams

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

     

     Gets the training parameters.

     Gets the training parameters.

     returns

     train parameters.

     Definition Classes

     LightGBMClassifier → LightGBMBase

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

     

     Attributes

     protected

     Definition Classes

     LightGBMBase

102. def getUseBarrierExecutionMode: Boolean

     

     Definition Classes

     LightGBMExecutionParams

103. def getValidationIndicatorCol: String

     
     Definition Classes

     HasValidationIndicatorCol

104. def getVerbosity: Int

     

     Definition Classes

     LightGBMParams

105. def getWeightCol: String

     
     Definition Classes

     HasWeightCol

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

     

     Definition Classes

     Params

107. def hasParam(paramName: String): Boolean

     

     Definition Classes

     Params

108. def hashCode(): Int

     

     Definition Classes

     AnyRef → Any

109. val improvementTolerance: DoubleParam

     

     Definition Classes

     LightGBMLearnerParams

110. val initScoreCol: Param[String]

     

     The name of the initial score column

     The name of the initial score column

     Definition Classes

     HasInitScoreCol

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

     

     Attributes

     protected

     Definition Classes

     Logging

112. def initializeLogIfNecessary(isInterpreter: Boolean): Unit

     

     Attributes

     protected

     Definition Classes

     Logging

113. def innerTrain(dataset: Dataset[_], batchIndex: 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

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

     

     Definition Classes

     Params

115. final def isInstanceOf[T0]: Boolean

     

     Definition Classes

     Any

116. val isProvideTrainingMetric: BooleanParam

     

     Definition Classes

     LightGBMParams

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

     

     Definition Classes

     Params

118. def isTraceEnabled(): Boolean

     

     Attributes

     protected

     Definition Classes

     Logging

119. val isUnbalance: BooleanParam

     

120. final val labelCol: Param[String]

     

     Definition Classes

     HasLabelCol

121. val lambdaL1: DoubleParam

     

     Definition Classes

     LightGBMParams

122. val lambdaL2: DoubleParam

     

     Definition Classes

     LightGBMParams

123. val leafPredictionCol: Param[String]

     

     Definition Classes

     LightGBMPredictionParams

124. val learningRate: DoubleParam

     

     Definition Classes

     LightGBMParams

125. def log: Logger

     

     Attributes

     protected

     Definition Classes

     Logging

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

     

     Attributes

     protected

     Definition Classes

     Logging

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

     

     Attributes

     protected

     Definition Classes

     Logging

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

     

     Attributes

     protected

     Definition Classes

     Logging

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

     

     Attributes

     protected

     Definition Classes

     Logging

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

     

     Attributes

     protected

     Definition Classes

     Logging

131. def logInfo(msg: ⇒ String): Unit

     

     Attributes

     protected

     Definition Classes

     Logging

132. def logName: String

     

     Attributes

     protected

     Definition Classes

     Logging

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

     

     Attributes

     protected

     Definition Classes

     Logging

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

     

     Attributes

     protected

     Definition Classes

     Logging

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

     

     Attributes

     protected

     Definition Classes

     Logging

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

     

     Attributes

     protected

     Definition Classes

     Logging

137. val maxBin: IntParam

     

     Definition Classes

     LightGBMBinParams

138. val maxBinByFeature: IntArrayParam

     

     Definition Classes

     LightGBMParams

139. val maxDeltaStep: DoubleParam

     

     Definition Classes

     LightGBMParams

140. val maxDepth: IntParam

     

     Definition Classes

     LightGBMParams

141. val metric: Param[String]

     

     Definition Classes

     LightGBMParams

142. val minDataInLeaf: IntParam

     

     Definition Classes

     LightGBMParams

143. val minGainToSplit: DoubleParam

     

     Definition Classes

     LightGBMParams

144. val minSumHessianInLeaf: DoubleParam

     

     Definition Classes

     LightGBMParams

145. val modelString: Param[String]

     

     Definition Classes

     LightGBMParams

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

     

     Definition Classes

     AnyRef

147. val negBaggingFraction: DoubleParam

     

     Definition Classes

     LightGBMFractionParams

148. final def notify(): Unit

     

     Definition Classes

     AnyRef

149. final def notifyAll(): Unit

     

     Definition Classes

     AnyRef

150. val numBatches: IntParam

     

     Definition Classes

     LightGBMExecutionParams

151. val numIterations: IntParam

     

     Definition Classes

     LightGBMParams

152. val numLeaves: IntParam

     

     Definition Classes

     LightGBMParams

153. val numTasks: IntParam

     

     Definition Classes

     LightGBMExecutionParams

154. val objective: Param[String]

     

     Definition Classes

     LightGBMParams

155. val parallelism: Param[String]

     

     Definition Classes

     LightGBMExecutionParams

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

     

     Definition Classes

     Params

157. val posBaggingFraction: DoubleParam

     

     Definition Classes

     LightGBMFractionParams

158. final val predictionCol: Param[String]

     

     Definition Classes

     HasPredictionCol

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

     

     Attributes

     protected

     Definition Classes

     LightGBMBase

160. 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

161. final val probabilityCol: Param[String]

     

     Definition Classes

     HasProbabilityCol

162. final val rawPredictionCol: Param[String]

     

     Definition Classes

     HasRawPredictionCol

163. val repartitionByGroupingColumn: BooleanParam

     

     Definition Classes

     LightGBMExecutionParams

164. def save(path: String): Unit

     

     Definition Classes

     MLWritable

     Annotations

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

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

     

     Attributes

     protected

     Definition Classes

     Params

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

     

     Attributes

     protected

     Definition Classes

     Params

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

     

     Definition Classes

     Params

168. def setBaggingFraction(value: Double): LightGBMClassifier.this.type

     

     Definition Classes

     LightGBMFractionParams

169. def setBaggingFreq(value: Int): LightGBMClassifier.this.type

     

     Definition Classes

     LightGBMParams

170. def setBaggingSeed(value: Int): LightGBMClassifier.this.type

     

     Definition Classes

     LightGBMParams

171. def setBinSampleCount(value: Int): LightGBMClassifier.this.type

     

     Definition Classes

     LightGBMBinParams

172. def setBoostFromAverage(value: Boolean): LightGBMClassifier.this.type

     

     Definition Classes

     LightGBMParams

173. def setBoostingType(value: String): LightGBMClassifier.this.type

     

     Definition Classes

     LightGBMParams

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

     

     Definition Classes

     LightGBMSlotParams

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

     

     Definition Classes

     LightGBMSlotParams

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

     

     Attributes

     protected

     Definition Classes

     Params

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

     

     Attributes

     protected

     Definition Classes

     Params

178. def setDefaultListenPort(value: Int): LightGBMClassifier.this.type

     

     Definition Classes

     LightGBMExecutionParams

179. def setDelegate(delegate: LightGBMDelegate): LightGBMClassifier.this.type

     

     Definition Classes

     LightGBMParams

180. def setDriverListenPort(value: Int): LightGBMClassifier.this.type

     

     Definition Classes

     LightGBMExecutionParams

181. def setEarlyStoppingRound(value: Int): LightGBMClassifier.this.type

     

     Definition Classes

     LightGBMLearnerParams

182. def setFeatureFraction(value: Double): LightGBMClassifier.this.type

     

     Definition Classes

     LightGBMFractionParams

183. def setFeaturesCol(value: String): LightGBMClassifier

     

     Definition Classes

     Predictor

184. def setFeaturesShapCol(value: String): LightGBMClassifier.this.type

     

     Definition Classes

     LightGBMPredictionParams

185. def setImprovementTolerance(value: Double): LightGBMClassifier.this.type

     

     Definition Classes

     LightGBMLearnerParams

186. def setInitScoreCol(value: String): LightGBMClassifier.this.type

     
     Definition Classes

     HasInitScoreCol

187. def setIsProvideTrainingMetric(value: Boolean): LightGBMClassifier.this.type

     

     Definition Classes

     LightGBMParams

188. def setIsUnbalance(value: Boolean): LightGBMClassifier.this.type

     

189. def setLabelCol(value: String): LightGBMClassifier

     

     Definition Classes

     Predictor

190. def setLambdaL1(value: Double): LightGBMClassifier.this.type

     

     Definition Classes

     LightGBMParams

191. def setLambdaL2(value: Double): LightGBMClassifier.this.type

     

     Definition Classes

     LightGBMParams

192. def setLeafPredictionCol(value: String): LightGBMClassifier.this.type

     

     Definition Classes

     LightGBMPredictionParams

193. def setLearningRate(value: Double): LightGBMClassifier.this.type

     

     Definition Classes

     LightGBMParams

194. def setMaxBin(value: Int): LightGBMClassifier.this.type

     

     Definition Classes

     LightGBMBinParams

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

     

     Definition Classes

     LightGBMParams

196. def setMaxDeltaStep(value: Double): LightGBMClassifier.this.type

     

     Definition Classes

     LightGBMParams

197. def setMaxDepth(value: Int): LightGBMClassifier.this.type

     

     Definition Classes

     LightGBMParams

198. def setMetric(value: String): LightGBMClassifier.this.type

     

     Definition Classes

     LightGBMParams

199. def setMinDataInLeaf(value: Int): LightGBMClassifier.this.type

     

     Definition Classes

     LightGBMParams

200. def setMinGainToSplit(value: Double): LightGBMClassifier.this.type

     

     Definition Classes

     LightGBMParams

201. def setMinSumHessianInLeaf(value: Double): LightGBMClassifier.this.type

     

     Definition Classes

     LightGBMParams

202. def setModelString(value: String): LightGBMClassifier.this.type

     

     Definition Classes

     LightGBMParams

203. def setNegBaggingFraction(value: Double): LightGBMClassifier.this.type

     

     Definition Classes

     LightGBMFractionParams

204. def setNumBatches(value: Int): LightGBMClassifier.this.type

     

     Definition Classes

     LightGBMExecutionParams

205. def setNumIterations(value: Int): LightGBMClassifier.this.type

     

     Definition Classes

     LightGBMParams

206. def setNumLeaves(value: Int): LightGBMClassifier.this.type

     

     Definition Classes

     LightGBMParams

207. def setNumTasks(value: Int): LightGBMClassifier.this.type

     

     Definition Classes

     LightGBMExecutionParams

208. def setObjective(value: String): LightGBMClassifier.this.type

     

     Definition Classes

     LightGBMParams

209. def setParallelism(value: String): LightGBMClassifier.this.type

     

     Definition Classes

     LightGBMExecutionParams

210. def setPosBaggingFraction(value: Double): LightGBMClassifier.this.type

     

     Definition Classes

     LightGBMFractionParams

211. def setPredictionCol(value: String): LightGBMClassifier

     

     Definition Classes

     Predictor

212. def setProbabilityCol(value: String): LightGBMClassifier

     

     Definition Classes

     ProbabilisticClassifier

213. def setRawPredictionCol(value: String): LightGBMClassifier

     

     Definition Classes

     Classifier

214. def setRepartitionByGroupingColumn(value: Boolean): LightGBMClassifier.this.type

     

     Definition Classes

     LightGBMExecutionParams

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

     

     Definition Classes

     LightGBMSlotParams

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

     

     Definition Classes

     ProbabilisticClassifier

217. def setTimeout(value: Double): LightGBMClassifier.this.type

     

     Definition Classes

     LightGBMExecutionParams

218. def setTopK(value: Int): LightGBMClassifier.this.type

     

     Definition Classes

     LightGBMExecutionParams

219. def setUseBarrierExecutionMode(value: Boolean): LightGBMClassifier.this.type

     

     Definition Classes

     LightGBMExecutionParams

220. def setValidationIndicatorCol(value: String): LightGBMClassifier.this.type

     
     Definition Classes

     HasValidationIndicatorCol

221. def setVerbosity(value: Int): LightGBMClassifier.this.type

     

     Definition Classes

     LightGBMParams

222. def setWeightCol(value: String): LightGBMClassifier.this.type

     
     Definition Classes

     HasWeightCol

223. val slotNames: StringArrayParam

     

     Definition Classes

     LightGBMSlotParams

224. def stringFromTrainedModel(model: LightGBMClassificationModel): String

     

     Definition Classes

     LightGBMClassifier → LightGBMBase

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

     

     Definition Classes

     AnyRef

226. final val thresholds: DoubleArrayParam

     

     Definition Classes

     HasThresholds

227. val timeout: DoubleParam

     

     Definition Classes

     LightGBMExecutionParams

228. def toString(): String

     

     Definition Classes

     Identifiable → AnyRef → Any

229. val topK: IntParam

     

     Definition Classes

     LightGBMExecutionParams

230. 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

231. def transformSchema(schema: StructType): StructType

     

     Definition Classes

     Predictor → PipelineStage

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

     

     Attributes

     protected

     Definition Classes

     PipelineStage

     Annotations

     @DeveloperApi()

233. val uid: String

     

     The unique ID.

     The unique ID.

     Definition Classes

     LightGBMClassifier → Identifiable

234. val useBarrierExecutionMode: BooleanParam

     

     Definition Classes

     LightGBMExecutionParams

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

     

     Attributes

     protected

     Definition Classes

     ProbabilisticClassifierParams → ClassifierParams → PredictorParams

236. val validationIndicatorCol: Param[String]

     

     The name of the validation indicator column

     The name of the validation indicator column

     Definition Classes

     HasValidationIndicatorCol

237. val verbosity: IntParam

     

     Definition Classes

     LightGBMParams

238. final def wait(): Unit

     

     Definition Classes

     AnyRef

     Annotations

     @throws( ... )

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

     

     Definition Classes

     AnyRef

     Annotations

     @throws( ... )

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

     

     Definition Classes

     AnyRef

     Annotations

     @throws( ... )

241. val weightCol: Param[String]

     

     The name of the weight column

     The name of the weight column

     Definition Classes

     HasWeightCol

242. def write: MLWriter

     

     Definition Classes

     DefaultParamsWritable → MLWritable