XGBoostRegressor

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 MLlib2XGBoostParams: Map[String, Any]

   

   Definition Classes

   ParamMapFuncs

6. def XGBoost2MLlibParams(xgboostParams: Map[String, Any]): Unit

   

   Definition Classes

   ParamMapFuncs

7. val addRawTrees: BooleanParam

   

   Definition Classes

   OkXGBoostParams

8. val addSignificance: BooleanParam

   

   Definition Classes

   OkXGBoostParams

9. final val allowNonZeroForMissing: BooleanParam

   

   Definition Classes

   GeneralParams

10. final val alpha: DoubleParam

    

    Definition Classes

    BoosterParams

11. final def asInstanceOf[T0]: T0

    

    Definition Classes

    Any

12. val average: String

    

    Definition Classes

    HasFeaturesSignificance

13. final val baseMarginCol: Param[String]

    

    Definition Classes

    HasBaseMarginCol

14. final val baseScore: DoubleParam

    

    Definition Classes

    LearningTaskParams

15. final val cacheTrainingSet: BooleanParam

    

    Definition Classes

    LearningTaskParams

16. final val checkpointInterval: IntParam

    

    Definition Classes

    GeneralParams

17. final val checkpointPath: Param[String]

    

    Definition Classes

    GeneralParams

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

    

    Definition Classes

    Params

19. def clone(): AnyRef

    

    Attributes

    protected[java.lang]

    Definition Classes

    AnyRef

    Annotations

    @throws( ... )

20. final val colsampleBylevel: DoubleParam

    

    Definition Classes

    BoosterParams

21. final val colsampleBytree: DoubleParam

    

    Definition Classes

    BoosterParams

22. final val contribPredictionCol: Param[String]

    

    Definition Classes

    HasContribPredictionCol

23. def copy(extra: ParamMap): SummarizableEstimator[XGRegressionModelWrapper]

    

    Definition Classes

    XGBoostRegressor → SummarizableEstimator → Estimator → PipelineStage → Params

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

    

    Attributes

    protected

    Definition Classes

    Params

25. val count: String

    

    Definition Classes

    HasFeaturesSignificance

26. final val customEval: CustomEvalParam

    

    Definition Classes

    GeneralParams

27. final val customObj: CustomObjParam

    

    Definition Classes

    GeneralParams

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

    

    Attributes

    protected

    Definition Classes

    Params

29. def densifyIfNeeded(dataset: Dataset[_]): Dataset[_]

    

    Attributes

    protected

    Definition Classes

    OkXGBoostParams

30. val densifyInput: BooleanParam

    

    Definition Classes

    OkXGBoostParams

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

    

    Definition Classes

    AnyRef

32. def equals(arg0: Any): Boolean

    

    Definition Classes

    AnyRef → Any

33. final val eta: DoubleParam

    

    Definition Classes

    BoosterParams

34. final val evalMetric: Param[String]

    

    Definition Classes

    LearningTaskParams

35. var evalSetsMap: Map[String, DataFrame]

    

    Attributes

    protected

    Definition Classes

    NonParamVariables

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

    

    Definition Classes

    Params

37. def explainParams(): String

    

    Definition Classes

    Params

38. final def extractParamMap(): ParamMap

    

    Definition Classes

    Params

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

    

    Definition Classes

    Params

40. val feature_index: String

    

    Definition Classes

    HasFeaturesSignificance

41. val feature_name: String

    

    Definition Classes

    HasFeaturesSignificance

42. final val featuresCol: Param[String]

    

    Definition Classes

    HasFeaturesCol

43. def featuresSignificance: Block

    

    Definition Classes

    HasFeaturesSignificance

44. def finalize(): Unit

    

    Attributes

    protected[java.lang]

    Definition Classes

    AnyRef

    Annotations

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

45. def fit(dataset: Dataset[_]): XGRegressionModelWrapper

    

    Definition Classes

    XGBoostRegressor → Estimator

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

    

    Definition Classes

    Estimator

    Annotations

    @Since( "2.0.0" )

47. def fit(dataset: Dataset[_], paramMap: ParamMap): XGRegressionModelWrapper

    

    Definition Classes

    Estimator

    Annotations

    @Since( "2.0.0" )

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

    

    Definition Classes

    Estimator

    Annotations

    @Since( "2.0.0" ) @varargs()

49. final val gamma: DoubleParam

    

    Definition Classes

    BoosterParams

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

    

    Definition Classes

    Params

51. final def getAllowNonZeroForMissingValue: Boolean

    

    Definition Classes

    GeneralParams

52. final def getAlpha: Double

    

    Definition Classes

    BoosterParams

53. final def getBaseMarginCol: String

    

    Definition Classes

    HasBaseMarginCol

54. final def getBaseScore: Double

    

    Definition Classes

    LearningTaskParams

55. final def getCheckpointInterval: Int

    

    Definition Classes

    GeneralParams

56. final def getCheckpointPath: String

    

    Definition Classes

    GeneralParams

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

    

    Definition Classes

    AnyRef → Any

58. final def getColsampleBylevel: Double

    

    Definition Classes

    BoosterParams

59. final def getColsampleBytree: Double

    

    Definition Classes

    BoosterParams

60. final def getContribPredictionCol: String

    

    Definition Classes

    HasContribPredictionCol

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

    

    Definition Classes

    Params

62. final def getEta: Double

    

    Definition Classes

    BoosterParams

63. final def getEvalMetric: String

    

    Definition Classes

    LearningTaskParams

64. def getEvalSets(params: Map[String, Any]): Map[String, DataFrame]

    

    Definition Classes

    NonParamVariables

65. final def getFeaturesCol: String

    

    Definition Classes

    HasFeaturesCol

66. final def getGamma: Double

    

    Definition Classes

    BoosterParams

67. final def getGroupCol: String

    

    Definition Classes

    HasGroupCol

68. final def getGrowPolicy: String

    

    Definition Classes

    BoosterParams

69. final def getInteractionConstraints: String

    

    Definition Classes

    BoosterParams

70. final def getLambda: Double

    

    Definition Classes

    BoosterParams

71. final def getLambdaBias: Double

    

    Definition Classes

    BoosterParams

72. final def getLeafPredictionCol: String

    

    Definition Classes

    HasLeafPredictionCol

73. final def getMaxBins: Int

    

    Definition Classes

    BoosterParams

74. final def getMaxDeltaStep: Double

    

    Definition Classes

    BoosterParams

75. final def getMaxDepth: Int

    

    Definition Classes

    BoosterParams

76. final def getMaxLeaves: Int

    

    Definition Classes

    BoosterParams

77. final def getMaximizeEvaluationMetrics: Boolean

    

    Definition Classes

    LearningTaskParams

78. final def getMinChildWeight: Double

    

    Definition Classes

    BoosterParams

79. final def getMissing: Float

    

    Definition Classes

    GeneralParams

80. final def getMonotoneConstraints: String

    

    Definition Classes

    BoosterParams

81. final def getNormalizeType: String

    

    Definition Classes

    BoosterParams

82. final def getNthread: Int

    

    Definition Classes

    GeneralParams

83. final def getNumEarlyStoppingRounds: Int

    

    Definition Classes

    LearningTaskParams

84. final def getNumRound: Int

    

    Definition Classes

    GeneralParams

85. final def getNumWorkers: Int

    

    Definition Classes

    GeneralParams

86. final def getObjective: String

    

    Definition Classes

    LearningTaskParams

87. final def getObjectiveType: String

    

    Definition Classes

    LearningTaskParams

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

    

    Definition Classes

    Params

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

    

    Definition Classes

    Params

90. final def getPredictionCol: String

    

    Definition Classes

    HasPredictionCol

91. final def getRateDrop: Double

    

    Definition Classes

    BoosterParams

92. final def getSampleType: String

    

    Definition Classes

    BoosterParams

93. final def getScalePosWeight: Double

    

    Definition Classes

    BoosterParams

94. final def getSeed: Long

    

    Definition Classes

    GeneralParams

95. final def getSilent: Int

    

    Definition Classes

    GeneralParams

96. final def getSketchEps: Double

    

    Definition Classes

    BoosterParams

97. final def getSkipDrop: Double

    

    Definition Classes

    BoosterParams

98. final def getSubsample: Double

    

    Definition Classes

    BoosterParams

99. final def getTimeoutRequestWorkers: Long

    

    Definition Classes

    GeneralParams

100. final def getTrainTestRatio: Double

     

     Definition Classes

     LearningTaskParams

101. final def getTreeLimit: Int

     

     Definition Classes

     BoosterParams

102. final def getTreeMethod: String

     

     Definition Classes

     BoosterParams

103. final def getUseExternalMemory: Boolean

     

     Definition Classes

     GeneralParams

104. final def getVerbosity: Int

     

     Definition Classes

     GeneralParams

105. final def getWeightCol: String

     

     Definition Classes

     HasWeightCol

106. final val groupCol: Param[String]

     

     Definition Classes

     HasGroupCol

107. final val growPolicy: Param[String]

     

     Definition Classes

     BoosterParams

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

     

     Definition Classes

     Params

109. def hasParam(paramName: String): Boolean

     

     Definition Classes

     Params

110. def hashCode(): Int

     

     Definition Classes

     AnyRef → Any

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. final val interactionConstraints: Param[String]

     

     Definition Classes

     BoosterParams

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

     

     Definition Classes

     Params

115. final def isInstanceOf[T0]: Boolean

     

     Definition Classes

     Any

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

     

     Definition Classes

     Params

117. def isTraceEnabled(): Boolean

     

     Attributes

     protected

     Definition Classes

     Logging

118. val iteration: String

     

     Definition Classes

     HasLossHistory

119. val label: String

     

     Definition Classes

     HasLossHistory

120. final val lambda: DoubleParam

     

     Definition Classes

     BoosterParams

121. final val lambdaBias: DoubleParam

     

     Definition Classes

     BoosterParams

122. final val leafPredictionCol: Param[String]

     

     Definition Classes

     HasLeafPredictionCol

123. def log: Logger

     

     Attributes

     protected

     Definition Classes

     Logging

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

     

     Attributes

     protected

     Definition Classes

     Logging

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

     

     Attributes

     protected

     Definition Classes

     Logging

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

     

     Attributes

     protected

     Definition Classes

     Logging

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

     

     Attributes

     protected

     Definition Classes

     Logging

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

     

     Attributes

     protected

     Definition Classes

     Logging

129. def logInfo(msg: ⇒ String): Unit

     

     Attributes

     protected

     Definition Classes

     Logging

130. def logName: String

     

     Attributes

     protected

     Definition Classes

     Logging

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

     

     Attributes

     protected

     Definition Classes

     Logging

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

     

     Attributes

     protected

     Definition Classes

     Logging

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

     

     Attributes

     protected

     Definition Classes

     Logging

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

     

     Attributes

     protected

     Definition Classes

     Logging

135. val loss: String

     

     Definition Classes

     HasLossHistory

136. val lossHistory: Block

     

     Definition Classes

     HasLossHistory

137. final val maxBins: IntParam

     

     Definition Classes

     BoosterParams

138. final val maxDeltaStep: DoubleParam

     

     Definition Classes

     BoosterParams

139. final val maxDepth: IntParam

     

     Definition Classes

     BoosterParams

140. final val maxLeaves: IntParam

     

     Definition Classes

     BoosterParams

141. final val maximizeEvaluationMetrics: BooleanParam

     

     Definition Classes

     LearningTaskParams

142. final val minChildWeight: DoubleParam

     

     Definition Classes

     BoosterParams

143. final val missing: FloatParam

     

     Definition Classes

     GeneralParams

144. final val monotoneConstraints: Param[String]

     

     Definition Classes

     BoosterParams

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

     

     Definition Classes

     AnyRef

146. def needDeterministicRepartitioning: Boolean

     

     Definition Classes

     XGBoostEstimatorCommon

147. final val normalizeType: Param[String]

     

     Definition Classes

     BoosterParams

148. final def notify(): Unit

     

     Definition Classes

     AnyRef

149. final def notifyAll(): Unit

     

     Definition Classes

     AnyRef

150. final val nthread: IntParam

     

     Definition Classes

     GeneralParams

151. final val numEarlyStoppingRounds: IntParam

     

     Definition Classes

     LearningTaskParams

152. final val numRound: IntParam

     

     Definition Classes

     GeneralParams

153. final val numWorkers: IntParam

     

     Definition Classes

     GeneralParams

154. final val objective: Param[String]

     

     Definition Classes

     LearningTaskParams

155. final val objectiveType: Param[String]

     

     Definition Classes

     LearningTaskParams

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

     

     Definition Classes

     Params

157. val predictAsDouble: BooleanParam

     

     Definition Classes

     OkXGBoostParams

158. final val predictionCol: Param[String]

     

     Definition Classes

     HasPredictionCol

159. final def rabitConnectRetry: IntParam

     

     Definition Classes

     RabitParams

160. final val rabitRingReduceThreshold: IntParam

     

     Definition Classes

     RabitParams

161. final def rabitTimeout: IntParam

     

     Definition Classes

     RabitParams

162. final val rateDrop: DoubleParam

     

     Definition Classes

     BoosterParams

163. final val sampleType: Param[String]

     

     Definition Classes

     BoosterParams

164. def save(path: String): Unit

     

     Definition Classes

     MLWritable

     Annotations

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

165. final val scalePosWeight: DoubleParam

     

     Definition Classes

     BoosterParams

166. final val seed: LongParam

     

     Definition Classes

     GeneralParams

167. final def set(paramPair: ParamPair[_]): XGBoostRegressor.this.type

     

     Attributes

     protected

     Definition Classes

     Params

168. final def set(param: String, value: Any): XGBoostRegressor.this.type

     

     Attributes

     protected

     Definition Classes

     Params

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

     

     Definition Classes

     Params

170. def setAddRawTrees(value: Boolean): XGBoostRegressor.this.type

     

     Definition Classes

     OkXGBoostParams

171. def setAddSignificance(value: Boolean): XGBoostRegressor.this.type

     

     Definition Classes

     OkXGBoostParams

172. def setAlpha(value: Double): XGBoostRegressor.this.type

     

173. def setBaseMarginCol(value: String): XGBoostRegressor.this.type

     

174. def setBaseScore(value: Double): XGBoostRegressor.this.type

     

175. def setCheckpointInterval(value: Int): XGBoostRegressor.this.type

     

176. def setCheckpointPath(value: String): XGBoostRegressor.this.type

     

177. def setColsampleBylevel(value: Double): XGBoostRegressor.this.type

     

178. def setColsampleBytree(value: Double): XGBoostRegressor.this.type

     

179. def setCustomEval(value: EvalTrait): XGBoostRegressor.this.type

     

180. def setCustomEvaluation(value: EvalTrait): XGBoostRegressor.this.type

     

181. def setCustomObj(value: ObjectiveTrait): XGBoostRegressor.this.type

     

182. def setCustomObjective(value: ObjectiveTrait): XGBoostRegressor.this.type

     

183. final def setDefault(paramPairs: ParamPair[_]*): XGBoostRegressor.this.type

     

     Attributes

     protected

     Definition Classes

     Params

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

     

     Attributes

     protected

     Definition Classes

     Params

185. def setDensifyInput(value: Boolean): XGBoostRegressor.this.type

     

     Definition Classes

     OkXGBoostParams

186. def setEta(value: Double): XGBoostRegressor.this.type

     

187. def setEvalMetric(value: String): XGBoostRegressor.this.type

     

188. def setEvalSets(evalSets: Map[String, DataFrame]): XGBoostRegressor.this.type

     

     Definition Classes

     NonParamVariables

189. def setFeatureCol(value: String): XGBoostRegressor.this.type

     

190. def setGamma(value: Double): XGBoostRegressor.this.type

     

191. def setGroupCol(value: String): XGBoostRegressor.this.type

     

192. def setGrowPolicy(value: String): XGBoostRegressor.this.type

     

193. def setLambda(value: Double): XGBoostRegressor.this.type

     

194. def setLambdaBias(value: Double): XGBoostRegressor.this.type

     

195. def setMaxBeens(value: Int): XGBoostRegressor.this.type

     

196. def setMaxBins(value: Int): XGBoostRegressor.this.type

     

197. def setMaxDeltaStep(value: Double): XGBoostRegressor.this.type

     

198. def setMaxDepth(value: Int): XGBoostRegressor.this.type

     

199. def setMinChildWeight(value: Double): XGBoostRegressor.this.type

     

200. def setMissing(value: Float): XGBoostRegressor.this.type

     

201. def setNormalizeType(value: String): XGBoostRegressor.this.type

     

202. def setNthread(value: Int): XGBoostRegressor.this.type

     

203. def setNumEarlyStoppingRounds(value: Int): XGBoostRegressor.this.type

     

204. def setNumRound(value: Int): XGBoostRegressor.this.type

     

205. def setNumRounds(value: Int): XGBoostRegressor.this.type

     

206. def setNumWorkers(value: Int): XGBoostRegressor.this.type

     

207. def setObjective(value: String): XGBoostRegressor.this.type

     

208. def setObjectiveType(value: String): XGBoostRegressor.this.type

     

209. def setPredictAsDouble(value: Boolean): XGBoostRegressor.this.type

     

     Definition Classes

     OkXGBoostParams

210. def setPredictionCol(value: String): XGBoostRegressor.this.type

     

211. def setRateDrop(value: Double): XGBoostRegressor.this.type

     

212. def setSampleType(value: String): XGBoostRegressor.this.type

     

213. def setScalePosWeight(value: Double): XGBoostRegressor.this.type

     

214. def setSeed(value: Long): XGBoostRegressor.this.type

     

215. def setSilent(value: Boolean): XGBoostRegressor.this.type

     

216. def setSilent(value: Int): XGBoostRegressor.this.type

     

217. def setSketchEps(value: Double): XGBoostRegressor.this.type

     

218. def setSkipDrop(value: Double): XGBoostRegressor.this.type

     

219. def setSubsample(value: Double): XGBoostRegressor.this.type

     

220. def setTimeoutRequestWorkers(value: Long): XGBoostRegressor.this.type

     

221. def setTrackerConf(workerConnectionTimeout: Long, trackerImpl: String): XGBoostRegressor.this.type

     

222. def setTrainTestRatio(value: Double): XGBoostRegressor.this.type

     

223. def setTrainTestRation(value: Double): XGBoostRegressor.this.type

     

224. def setTreeMethod(value: String): XGBoostRegressor.this.type

     

225. def setUseExternalMemory(value: Boolean): XGBoostRegressor.this.type

     

226. def setVerbosity(value: Int): XGBoostRegressor.this.type

     

227. def setWeightCol(value: String): XGBoostRegressor.this.type

     

228. val significance: String

     

     Definition Classes

     HasFeaturesSignificance

229. final val silent: IntParam

     

     Definition Classes

     GeneralParams

230. final val sketchEps: DoubleParam

     

     Definition Classes

     BoosterParams

231. final val skipCleanCheckpoint: BooleanParam

     

     Definition Classes

     LearningTaskParams

232. final val skipDrop: DoubleParam

     

     Definition Classes

     BoosterParams

233. val stdDev: String

     

     Definition Classes

     HasFeaturesSignificance

234. final val subsample: DoubleParam

     

     Definition Classes

     BoosterParams

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

     

     Definition Classes

     AnyRef

236. val testLoss: String

     

     Definition Classes

     HasLossHistory

237. final val timeoutRequestWorkers: LongParam

     

     Definition Classes

     GeneralParams

238. def toString(): String

     

     Definition Classes

     Identifiable → AnyRef → Any

239. final val trackerConf: TrackerConfParam

     

     Definition Classes

     GeneralParams

240. final val trainTestRatio: DoubleParam

     

     Definition Classes

     LearningTaskParams

241. def transformSchema(schema: StructType): StructType

     

     Definition Classes

     XGBoostRegressor → PipelineStage

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

     

     Attributes

     protected

     Definition Classes

     PipelineStage

     Annotations

     @DeveloperApi()

243. final val treeLimit: IntParam

     

     Definition Classes

     BoosterParams

244. final val treeMethod: Param[String]

     

     Definition Classes

     BoosterParams

245. val uid: String

     

     Definition Classes

     XGBoostRegressor → Identifiable

246. final val useExternalMemory: BooleanParam

     

     Definition Classes

     GeneralParams

247. final val verbosity: IntParam

     

     Definition Classes

     GeneralParams

248. final def wait(): Unit

     

     Definition Classes

     AnyRef

     Annotations

     @throws( ... )

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

     

     Definition Classes

     AnyRef

     Annotations

     @throws( ... )

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

     

     Definition Classes

     AnyRef

     Annotations

     @throws( ... )

251. final val weightCol: Param[String]

     

     Definition Classes

     HasWeightCol

252. def write: MLWriter

     

     Definition Classes

     DefaultParamsWritable → MLWritable