H2OXGBoostMOJOModel

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 applyPredictionUdf(dataset: Dataset[_], udfConstructor: (Array[String]) ⇒ UserDefinedFunction): DataFrame

   

   Attributes

   protected

   Definition Classes

   H2OMOJOFlattenedInput

6. def applyPredictionUdfToFlatDataFrame(flatDataFrame: DataFrame, udfConstructor: (Array[String]) ⇒ UserDefinedFunction, inputs: Array[String]): DataFrame

   

   Attributes

   protected

   Definition Classes

   H2OSupervisedMOJOModel → H2OMOJOModel → H2OMOJOFlattenedInput

7. final def asInstanceOf[T0]: T0

   

   Definition Classes

   Any

8. val aucType: NullableStringParam

   

   Attributes

   protected

9. val backend: NullableStringParam

   

   Attributes

   protected

10. def booleanParam(name: String, doc: String): BooleanParam

    

    Attributes

    protected

    Definition Classes

    ParameterConstructorMethods

11. val booster: NullableStringParam

    

    Attributes

    protected

12. val buildTreeOneNode: BooleanParam

    

    Attributes

    protected

13. val calibrateModel: BooleanParam

    

    Attributes

    protected

14. val categoricalEncoding: NullableStringParam

    

    Attributes

    protected

15. final def clear(param: Param[_]): H2OXGBoostMOJOModel.this.type

    

    Definition Classes

    Params

16. def clone(): AnyRef

    

    Attributes

    protected[java.lang]

    Definition Classes

    AnyRef

    Annotations

    @throws( ... )

17. val colSampleByLevel: DoubleParam

    

    Attributes

    protected

18. val colSampleByNode: DoubleParam

    

    Attributes

    protected

19. val colSampleByTree: DoubleParam

    

    Attributes

    protected

20. val colSampleRate: DoubleParam

    

    Attributes

    protected

21. val colSampleRatePerTree: DoubleParam

    

    Attributes

    protected

22. final val convertInvalidNumbersToNa: BooleanParam

    

    Attributes

    protected

    Definition Classes

    H2OBaseMOJOParams

23. final val convertUnknownCategoricalLevelsToNa: BooleanParam

    

    Attributes

    protected

    Definition Classes

    H2OBaseMOJOParams

24. def copy(extra: ParamMap): H2OMOJOModel

    

    Definition Classes

    H2OMOJOModel → Model → Transformer → PipelineStage → Params

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

    

    Attributes

    protected

    Definition Classes

    Params

26. final val crossValidationMetrics: MapStringDoubleParam

    

    Attributes

    protected

    Definition Classes

    H2OMOJOModel

27. final val crossValidationMetricsObject: NullableMetricsParam

    

    Attributes

    protected

    Definition Classes

    H2OMOJOModel

28. final val crossValidationMetricsSummary: NullableDataFrameParam

    

    Attributes

    protected

    Definition Classes

    H2OMOJOModel

29. var crossValidationModels: Array[H2OMOJOModel]

    

    Attributes

    protected

    Definition Classes

    H2OMOJOModel

30. final val dataFrameSerializer: Param[String]

    

    Attributes

    protected

    Definition Classes

    HasDataFrameSerializer

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

    

    Attributes

    protected

    Definition Classes

    Params

32. final val detailedPredictionCol: Param[String]

    

    Attributes

    protected

    Definition Classes

    H2OAlgorithmMOJOParams

33. val distribution: NullableStringParam

    

    Attributes

    protected

34. val dmatrixType: NullableStringParam

    

    Attributes

    protected

35. def doubleArrayParam(name: String, doc: String): DoubleArrayParam

    

    Attributes

    protected

    Definition Classes

    ParameterConstructorMethods

36. def doubleParam(name: String, doc: String): DoubleParam

    

    Attributes

    protected

    Definition Classes

    ParameterConstructorMethods

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

    

    Definition Classes

    AnyRef

38. def equals(arg0: Any): Boolean

    

    Definition Classes

    AnyRef → Any

39. val eta: DoubleParam

    

    Attributes

    protected

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

    

    Definition Classes

    Params

41. def explainParams(): String

    

    Definition Classes

    Params

42. val exportCheckpointsDir: NullableStringParam

    

    Attributes

    protected

43. def extractAnomalyPredictionColContent(): Column

    

    Definition Classes

    H2OMOJOPredictionAnomaly

44. def extractBinomialPredictionColContent(): Column

    

    Definition Classes

    H2OMOJOPredictionBinomial

45. def extractClusteringPredictionColContent(): Column

    

    Definition Classes

    H2OMOJOPredictionClustering

46. def extractCoxPHPredictionColContent(): Column

    

    Definition Classes

    H2OMOJOPredictionCoxPH

47. def extractCrossValidationMetricsSummary(modelJson: JsonObject): DataFrame

    

    Attributes

    protected

    Definition Classes

    H2OMOJOModelUtils

48. def extractDimReductionSimplePredictionColContent(): Column

    

    Definition Classes

    H2OMOJOPredictionDimReduction

49. def extractFeatureImportances(outputJson: JsonObject): DataFrame

    

    Attributes

    protected

    Definition Classes

    H2OMOJOModelUtils

50. def extractFeatureTypes(outputJson: JsonObject): Map[String, String]

    

    Attributes

    protected

    Definition Classes

    H2OMOJOModelUtils

51. def extractMetrics(json: JsonObject, metricType: String): Map[String, Double]

    

    Attributes

    protected

    Definition Classes

    H2OMOJOModelUtils

52. def extractMetricsObject(json: JsonObject, metricType: String, algoName: String, modelCategory: internals.H2OModelCategory.Value, dataFrameSerializerGetter: () ⇒ String): H2OMetrics

    

    Attributes

    protected

    Definition Classes

    H2OMOJOModelUtils

53. def extractModelCategory(outputJson: JsonObject): internals.H2OModelCategory.Value

    

    Attributes

    protected

    Definition Classes

    H2OMOJOModelUtils

54. def extractMultinomialPredictionColContent(): Column

    

    Definition Classes

    H2OMOJOPredictionMultinomial

55. def extractOrdinalPredictionColContent(): Column

    

    Definition Classes

    H2OMOJOPredictionOrdinal

56. final def extractParamMap(): ParamMap

    

    Definition Classes

    Params

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

    

    Definition Classes

    Params

58. def extractParams(modelJson: JsonObject): Map[String, String]

    

    Attributes

    protected

    Definition Classes

    H2OMOJOModelUtils

59. def extractPredictionColContent(): Column

    

    Definition Classes

    H2OMOJOPrediction

60. def extractRegressionPredictionColContent(): Column

    

    Definition Classes

    H2OMOJOPredictionRegression

61. def extractScoringHistory(outputJson: JsonObject): DataFrame

    

    Attributes

    protected

    Definition Classes

    H2OMOJOModelUtils

62. def extractWordEmbeddingPredictionColContent(): Column

    

    Definition Classes

    H2OMOJOPredictionWordEmbedding

63. final val featureImportances: NullableDataFrameParam

    

    Attributes

    protected

    Definition Classes

    H2OMOJOModel

64. final val featureTypes: MapStringStringParam

    

    Attributes

    protected

    Definition Classes

    HasFeatureTypesOnMOJO

65. final val featuresCols: StringArrayParam

    

    Attributes

    protected

    Definition Classes

    H2OAlgorithmMOJOParams

66. def finalize(): Unit

    

    Attributes

    protected[java.lang]

    Definition Classes

    AnyRef

    Annotations

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

67. def floatParam(name: String, doc: String): FloatParam

    

    Attributes

    protected

    Definition Classes

    ParameterConstructorMethods

68. val foldAssignment: NullableStringParam

    

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    protected

69. val foldCol: NullableStringParam

    

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    protected

70. val gainsliftBins: IntParam

    

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    protected

71. val gamma: FloatParam

    

    Attributes

    protected

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

    

    Definition Classes

    Params

73. def getAnomalyPredictionColSchema(): Seq[StructField]

    

    Definition Classes

    H2OMOJOPredictionAnomaly

74. def getAnomalyPredictionSchema(): StructType

    

    Definition Classes

    H2OMOJOPredictionAnomaly

75. def getAnomalyPredictionUDF(): UserDefinedFunction

    

    Definition Classes

    H2OMOJOPredictionAnomaly

76. def getAucType(): String

    

77. def getBackend(): String

    

78. def getBinomialPredictionColSchema(): Seq[StructField]

    

    Definition Classes

    H2OMOJOPredictionBinomial

79. def getBinomialPredictionSchema(): StructType

    

    Definition Classes

    H2OMOJOPredictionBinomial

80. def getBinomialPredictionUDF(): UserDefinedFunction

    

    Definition Classes

    H2OMOJOPredictionBinomial

81. def getBooster(): String

    

82. def getBuildTreeOneNode(): Boolean

    

83. def getCalibrateModel(): Boolean

    

84. def getCategoricalEncoding(): String

    

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

    

    Definition Classes

    AnyRef → Any

86. def getClusteringPredictionColSchema(): Seq[StructField]

    

    Definition Classes

    H2OMOJOPredictionClustering

87. def getClusteringPredictionSchema(): StructType

    

    Definition Classes

    H2OMOJOPredictionClustering

88. def getClusteringPredictionUDF(): UserDefinedFunction

    

    Definition Classes

    H2OMOJOPredictionClustering

89. def getColSampleByLevel(): Double

    

90. def getColSampleByNode(): Double

    

91. def getColSampleByTree(): Double

    

92. def getColSampleRate(): Double

    

93. def getColSampleRatePerTree(): Double

    

94. def getContributionsSchema(model: EasyPredictModelWrapper): DataType

    

    Attributes

    protected

    Definition Classes

    PredictionWithContributions

95. def getConvertInvalidNumbersToNa(): Boolean

    

    Definition Classes

    H2OBaseMOJOParams

96. def getConvertUnknownCategoricalLevelsToNa(): Boolean

    

    Definition Classes

    H2OBaseMOJOParams

97. def getCoxPHPredictionColSchema(): Seq[StructField]

    

    Definition Classes

    H2OMOJOPredictionCoxPH

98. def getCoxPHPredictionSchema(): StructType

    

    Definition Classes

    H2OMOJOPredictionCoxPH

99. def getCoxPHPredictionUDF(): UserDefinedFunction

    

    Definition Classes

    H2OMOJOPredictionCoxPH

100. def getCrossValidationMetrics(): Map[String, Double]

     

     Returns a map of all combined cross-validation holdout metrics of the Double type.

     Returns a map of all combined cross-validation holdout metrics of the Double type.

     Definition Classes

     H2OMOJOModel

101. def getCrossValidationMetricsObject(): H2OMetrics

     

     Returns an object holding all metrics of the Double type and also more complex performance information combined from cross-validation holdouts.

     Returns an object holding all metrics of the Double type and also more complex performance information combined from cross-validation holdouts.

     Definition Classes

     H2OMOJOModel

102. def getCrossValidationMetricsSummary(): DataFrame

     

     Returns a data frame with information about performance of individual folds according to various model metrics.

     Returns a data frame with information about performance of individual folds according to various model metrics.

     Definition Classes

     H2OMOJOModel

103. def getCrossValidationModels(): Seq[H2OXGBoostMOJOModel.this.type]

     

     Definition Classes

     H2OMOJOModel

104. def getCurrentMetrics(): Map[String, Double]

     

     Returns a map of all metrics of the Double type.

     Returns a map of all metrics of the Double type. If the nfolds parameter was set, the metrics were combined from cross-validation holdouts. If cross validations wasn't enabled, the metrics were calculated from a validation dataset. If the validation dataset wasn't available, the metrics were calculated from the training dataset.

     Definition Classes

     H2OMOJOModel

105. def getCurrentMetricsObject(): H2OMetrics

     

     Returns an object holding all metrics of the Double type and also more complex performance information.

     Returns an object holding all metrics of the Double type and also more complex performance information. If the nfolds parameter was set, the object was combined from cross-validation holdouts. If cross validations wasn't enabled, the object was calculated from a validation dataset. If the validation dataset wasn't available, the object was calculated from the training dataset.

     Definition Classes

     H2OMOJOModel

106. def getDataFrameSerializer(): String

     

     Definition Classes

     HasDataFrameSerializer

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

     

     Definition Classes

     Params

108. def getDetailedPredictionCol(): String

     

     Definition Classes

     H2OAlgorithmMOJOParams

109. def getDetailedPredictionColSchema(): Seq[StructField]

     

     Definition Classes

     H2OMOJOPrediction

110. def getDimReductionPredictionColSchema(): Seq[StructField]

     

     Definition Classes

     H2OMOJOPredictionDimReduction

111. def getDimReductionPredictionSchema(): StructType

     

     Definition Classes

     H2OMOJOPredictionDimReduction

112. def getDimReductionPredictionUDF(): UserDefinedFunction

     

     Definition Classes

     H2OMOJOPredictionDimReduction

113. def getDistribution(): String

     

114. def getDmatrixType(): String

     

115. def getDomainValues(): Map[String, Array[String]]

     

     Definition Classes

     H2OMOJOModel

116. def getEta(): Double

     

117. def getExportCheckpointsDir(): String

     

118. def getFeatureImportances(): DataFrame

     

     Definition Classes

     H2OMOJOModel

119. def getFeatureTypes(): Map[String, String]

     

     Definition Classes

     HasFeatureTypesOnMOJO

120. def getFeaturesCols(): Array[String]

     

     Definition Classes

     H2OAlgorithmMOJOParams

121. def getFoldAssignment(): String

     

122. def getFoldCol(): String

     

123. def getGainsliftBins(): Int

     

124. def getGamma(): Float

     

125. def getGpuId(): Array[Int]

     

126. def getGrowPolicy(): String

     

127. def getIgnoreConstCols(): Boolean

     

128. def getIgnoredCols(): Array[String]

     

     Definition Classes

     HasIgnoredColsOnMOJO

129. def getInteractionConstraints(): Array[Array[String]]

     

130. def getKeepCrossValidationFoldAssignment(): Boolean

     

131. def getKeepCrossValidationModels(): Boolean

     

132. def getKeepCrossValidationPredictions(): Boolean

     

133. def getLabelCol(): String

     

134. def getLearnRate(): Double

     

135. def getMaxAbsLeafnodePred(): Float

     

136. def getMaxBins(): Int

     

137. def getMaxDeltaStep(): Float

     

138. def getMaxDepth(): Int

     

139. def getMaxLeaves(): Int

     

140. def getMaxRuntimeSecs(): Double

     

141. def getMinChildWeight(): Double

     

142. def getMinRows(): Double

     

143. def getMinSplitImprovement(): Float

     

144. def getModelCategory(): String

     

     Definition Classes

     H2OMOJOModel

145. def getModelDetails(): String

     

     Definition Classes

     H2OMOJOModel

146. def getModelDetails(modelJson: JsonObject): String

     

     Attributes

     protected

     Definition Classes

     H2OMOJOModelUtils

147. def getModelJson(mojo: File): JsonObject

     

     Attributes

     protected

     Definition Classes

     H2OMOJOModelUtils

148. def getMonotoneConstraints(): Map[String, Double]

     

     Definition Classes

     HasMonotoneConstraintsOnMOJO

149. def getMultinomialPredictionColSchema(): Seq[StructField]

     

     Definition Classes

     H2OMOJOPredictionMultinomial

150. def getMultinomialPredictionSchema(): StructType

     

     Definition Classes

     H2OMOJOPredictionMultinomial

151. def getMultinomialPredictionUDF(): UserDefinedFunction

     

     Definition Classes

     H2OMOJOPredictionMultinomial

152. def getNamedMojoOutputColumns(): Boolean

     

     Definition Classes

     H2OAlgorithmMOJOParams

153. def getNfolds(): Int

     

154. def getNormalizeType(): String

     

155. def getNthread(): Int

     

156. def getNtrees(): Int

     

     Definition Classes

     H2OTreeBasedMOJOParams

157. def getOffsetCol(): String

     

     Definition Classes

     H2OSupervisedMOJOParams

158. def getOneDrop(): Boolean

     

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

     

     Definition Classes

     Params

160. def getOrdinalPredictionColSchema(): Seq[StructField]

     

     Definition Classes

     H2OMOJOPredictionOrdinal

161. def getOrdinalPredictionSchema(): StructType

     

     Definition Classes

     H2OMOJOPredictionOrdinal

162. def getOrdinalPredictionUDF(): UserDefinedFunction

     

     Definition Classes

     H2OMOJOPredictionOrdinal

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

     

     Definition Classes

     Params

164. def getPredictionCol(): String

     

     Definition Classes

     H2OAlgorithmMOJOParams

165. def getPredictionColSchema(): Seq[StructField]

     

     Definition Classes

     H2OMOJOPrediction

166. def getPredictionSchema(): StructType

     

     Definition Classes

     H2OMOJOPrediction

167. def getPredictionUDF(): UserDefinedFunction

     

     Definition Classes

     H2OMOJOPrediction

168. def getQuietMode(): Boolean

     

169. def getRateDrop(): Float

     

170. def getRegAlpha(): Float

     

171. def getRegLambda(): Float

     

172. def getRegressionPredictionColSchema(): Seq[StructField]

     

     Definition Classes

     H2OMOJOPredictionRegression

173. def getRegressionPredictionSchema(): StructType

     

     Definition Classes

     H2OMOJOPredictionRegression

174. def getRegressionPredictionUDF(): UserDefinedFunction

     

     Definition Classes

     H2OMOJOPredictionRegression

175. def getRelevantColumnNames(flatDataFrame: DataFrame, inputs: Array[String]): Array[String]

     

     Attributes

     protected

     Definition Classes

     H2OMOJOFlattenedInput

176. def getSampleRate(): Double

     

177. def getSampleType(): String

     

178. def getSaveMatrixDirectory(): String

     

179. def getScalePosWeight(): Float

     

180. def getScoreEachIteration(): Boolean

     

181. def getScoreTreeInterval(): Int

     

182. def getScoringHistory(): DataFrame

     

     Definition Classes

     H2OMOJOModel

183. def getSeed(): Long

     

184. def getSkipDrop(): Float

     

185. def getStageProbabilitiesSchema(model: EasyPredictModelWrapper): DataType

     

     Attributes

     protected

     Definition Classes

     PredictionWithStageProbabilities

186. def getStoppingMetric(): String

     

187. def getStoppingRounds(): Int

     

188. def getStoppingTolerance(): Double

     

189. def getSubsample(): Double

     

190. def getTrainingMetrics(): Map[String, Double]

     

     Returns a map of all metrics of the Double type calculated on the training dataset.

     Returns a map of all metrics of the Double type calculated on the training dataset.

     Definition Classes

     H2OMOJOModel

191. def getTrainingMetricsObject(): H2OMetrics

     

     Returns an object holding all metrics of the Double type and also more complex performance information calculated on the training dataset.

     Returns an object holding all metrics of the Double type and also more complex performance information calculated on the training dataset.

     Definition Classes

     H2OMOJOModel

192. def getTrainingParams(): Map[String, String]

     

     Definition Classes

     H2OMOJOModel

193. def getTreeMethod(): String

     

194. def getTweediePower(): Double

     

195. def getValidationMetrics(): Map[String, Double]

     

     Returns a map of all metrics of the Double type calculated on the validation dataset.

     Returns a map of all metrics of the Double type calculated on the validation dataset.

     Definition Classes

     H2OMOJOModel

196. def getValidationMetricsObject(): H2OMetrics

     

     Returns an object holding all metrics of the Double type and also more complex performance information calculated on the validation dataset.

     Returns an object holding all metrics of the Double type and also more complex performance information calculated on the validation dataset.

     Definition Classes

     H2OMOJOModel

197. def getWeightCol(): String

     

198. def getWithContributions(): Boolean

     

     Definition Classes

     H2OAlgorithmMOJOParams

199. def getWithDetailedPredictionCol(): Boolean

     

     Definition Classes

     H2OAlgorithmMOJOParams

     Annotations

     @DeprecatedMethod( x$2 , x$1 )

200. def getWithLeafNodeAssignments(): Boolean

     

     Definition Classes

     H2OAlgorithmMOJOParams

201. def getWithStageResults(): Boolean

     

     Definition Classes

     H2OAlgorithmMOJOParams

202. def getWordEmbeddingPredictionColSchema(): Seq[StructField]

     

     Definition Classes

     H2OMOJOPredictionWordEmbedding

203. def getWordEmbeddingPredictionSchema(): StructType

     

     Definition Classes

     H2OMOJOPredictionWordEmbedding

204. def getWordEmbeddingPredictionUDF(): UserDefinedFunction

     

     Definition Classes

     H2OMOJOPredictionWordEmbedding

205. val gpuId: NullableIntArrayParam

     

     Attributes

     protected

206. val growPolicy: NullableStringParam

     

     Attributes

     protected

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

     

     Definition Classes

     Params

208. def hasParam(paramName: String): Boolean

     

     Definition Classes

     Params

209. def hasParent: Boolean

     

     Definition Classes

     Model

210. def hashCode(): Int

     

     Definition Classes

     AnyRef → Any

211. val ignoreConstCols: BooleanParam

     

     Attributes

     protected

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

     

     Attributes

     protected

     Definition Classes

     Logging

213. def initializeLogIfNecessary(isInterpreter: Boolean): Unit

     

     Attributes

     protected

     Definition Classes

     Logging

214. def inputColumnNames: Array[String]

     

     Attributes

     protected

     Definition Classes

     H2OAlgorithmMOJOModel → H2OMOJOFlattenedInput

215. def intArrayParam(name: String, doc: String): IntArrayParam

     

     Attributes

     protected

     Definition Classes

     ParameterConstructorMethods

216. def intParam(name: String, doc: String): IntParam

     

     Attributes

     protected

     Definition Classes

     ParameterConstructorMethods

217. val interactionConstraints: NullableStringArrayArrayParam

     

     Attributes

     protected

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

     

     Definition Classes

     Params

219. final def isInstanceOf[T0]: Boolean

     

     Definition Classes

     Any

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

     

     Definition Classes

     Params

221. def isTraceEnabled(): Boolean

     

     Attributes

     protected

     Definition Classes

     Logging

222. def jsonFieldToDataFrame(outputJson: JsonObject, fieldName: String): DataFrame

     

     Attributes

     protected

     Definition Classes

     H2OMOJOModelUtils

223. val keepCrossValidationFoldAssignment: BooleanParam

     

     Attributes

     protected

224. val keepCrossValidationModels: BooleanParam

     

     Attributes

     protected

225. val keepCrossValidationPredictions: BooleanParam

     

     Attributes

     protected

226. val labelCol: Param[String]

     

     Attributes

     protected

227. val learnRate: DoubleParam

     

     Attributes

     protected

228. def log: Logger

     

     Attributes

     protected

     Definition Classes

     Logging

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

     

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     protected

     Definition Classes

     Logging

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

     

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     protected

     Definition Classes

     Logging

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

     

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     protected

     Definition Classes

     Logging

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

     

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     Definition Classes

     Logging

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

     

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     protected

     Definition Classes

     Logging

234. def logInfo(msg: ⇒ String): Unit

     

     Attributes

     protected

     Definition Classes

     Logging

235. def logName: String

     

     Attributes

     protected

     Definition Classes

     Logging

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

     

     Attributes

     protected

     Definition Classes

     Logging

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

     

     Attributes

     protected

     Definition Classes

     Logging

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

     

     Attributes

     protected

     Definition Classes

     Logging

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

     

     Attributes

     protected

     Definition Classes

     Logging

240. def longParam(name: String, doc: String): LongParam

     

     Attributes

     protected

     Definition Classes

     ParameterConstructorMethods

241. val maxAbsLeafnodePred: FloatParam

     

     Attributes

     protected

242. val maxBins: IntParam

     

     Attributes

     protected

243. val maxDeltaStep: FloatParam

     

     Attributes

     protected

244. val maxDepth: IntParam

     

     Attributes

     protected

245. val maxLeaves: IntParam

     

     Attributes

     protected

246. val maxRuntimeSecs: DoubleParam

     

     Attributes

     protected

247. val minChildWeight: DoubleParam

     

     Attributes

     protected

248. val minRows: DoubleParam

     

     Attributes

     protected

249. val minSplitImprovement: FloatParam

     

     Attributes

     protected

250. final val modelCategory: NullableStringParam

     

     Attributes

     protected

     Definition Classes

     H2OMOJOModel

251. final val modelDetails: NullableStringParam

     

     Attributes

     protected

     Definition Classes

     H2OMOJOModel

252. final val namedMojoOutputColumns: Param[Boolean]

     

     Attributes

     protected

     Definition Classes

     H2OAlgorithmMOJOParams

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

     

     Definition Classes

     AnyRef

254. val nfolds: IntParam

     

     Attributes

     protected

255. val normalizeType: NullableStringParam

     

     Attributes

     protected

256. final def notify(): Unit

     

     Definition Classes

     AnyRef

257. final def notifyAll(): Unit

     

     Definition Classes

     AnyRef

258. val nthread: IntParam

     

     Attributes

     protected

259. final val ntrees: IntParam

     

     Attributes

     protected

     Definition Classes

     H2OTreeBasedMOJOParams

260. def nullableDoubleArrayArrayParam(name: String, doc: String): NullableDoubleArrayArrayParam

     

     Attributes

     protected

     Definition Classes

     ParameterConstructorMethods

261. def nullableDoubleArrayParam(name: String, doc: String): NullableDoubleArrayParam

     

     Attributes

     protected

     Definition Classes

     ParameterConstructorMethods

262. def nullableFloatArrayParam(name: String, doc: String): NullableFloatArrayParam

     

     Attributes

     protected

     Definition Classes

     ParameterConstructorMethods

263. def nullableIntArrayParam(name: String, doc: String): NullableIntArrayParam

     

     Attributes

     protected

     Definition Classes

     ParameterConstructorMethods

264. def nullableStringArrayArrayParam(name: String, doc: String): NullableStringArrayArrayParam

     

     Attributes

     protected

     Definition Classes

     ParameterConstructorMethods

265. def nullableStringArrayParam(name: String, doc: String): NullableStringArrayParam

     

     Attributes

     protected

     Definition Classes

     ParameterConstructorMethods

266. def nullableStringPairArrayParam(name: String, doc: String): NullableStringPairArrayParam

     

     Attributes

     protected

     Definition Classes

     ParameterConstructorMethods

267. def nullableStringParam(name: String, doc: String): NullableStringParam

     

     Attributes

     protected

     Definition Classes

     ParameterConstructorMethods

268. val oneDrop: BooleanParam

     

     Attributes

     protected

269. def outputColumnName: String

     

     Attributes

     protected

     Definition Classes

     H2OAlgorithmMOJOModel → H2OMOJOFlattenedInput

270. def param[T](name: String, doc: String): Param[T]

     

     Attributes

     protected

     Definition Classes

     ParameterConstructorMethods

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

     

     Definition Classes

     Params

272. var parent: Estimator[H2OMOJOModel]

     

     Definition Classes

     Model

273. final val predictionCol: Param[String]

     

     Attributes

     protected

     Definition Classes

     H2OAlgorithmMOJOParams

274. val quietMode: BooleanParam

     

     Attributes

     protected

275. val rateDrop: FloatParam

     

     Attributes

     protected

276. val regAlpha: FloatParam

     

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     protected

277. val regLambda: FloatParam

     

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     protected

278. val sampleRate: DoubleParam

     

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     protected

279. val sampleType: NullableStringParam

     

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     protected

280. def save(path: String): Unit

     

     Definition Classes

     MLWritable

     Annotations

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

281. val saveMatrixDirectory: NullableStringParam

     

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     protected

282. val scalePosWeight: FloatParam

     

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283. val scoreEachIteration: BooleanParam

     

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284. val scoreTreeInterval: IntParam

     

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285. final val scoringHistory: NullableDataFrameParam

     

     Attributes

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     Definition Classes

     H2OMOJOModel

286. val seed: LongParam

     

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     protected

287. final def set(paramPair: ParamPair[_]): H2OXGBoostMOJOModel.this.type

     

     Attributes

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     Definition Classes

     Params

288. final def set(param: String, value: Any): H2OXGBoostMOJOModel.this.type

     

     Attributes

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     Definition Classes

     Params

289. final def set[T](param: Param[T], value: T): H2OXGBoostMOJOModel.this.type

     

     Definition Classes

     Params

290. def setDataFrameSerializer(fullClassName: String): H2OXGBoostMOJOModel.this.type

     

     Definition Classes

     H2OBaseMOJOParams

291. final def setDefault(paramPairs: ParamPair[_]*): H2OXGBoostMOJOModel.this.type

     

     Attributes

     protected

     Definition Classes

     Params

292. final def setDefault[T](param: Param[T], value: T): H2OXGBoostMOJOModel.this.type

     

     Attributes

     protected

     Definition Classes

     Params

293. def setMojo(mojo: File): H2OXGBoostMOJOModel.this.type

     

     Definition Classes

     HasMojo

294. def setMojo(mojo: InputStream, mojoName: String): H2OXGBoostMOJOModel.this.type

     

     Definition Classes

     HasMojo

295. def setMojo(mojo: InputStream): H2OXGBoostMOJOModel.this.type

     

     Definition Classes

     HasMojo

296. def setParent(parent: Estimator[H2OMOJOModel]): H2OMOJOModel

     

     Definition Classes

     Model

297. val skipDrop: FloatParam

     

     Attributes

     protected

298. val stoppingMetric: NullableStringParam

     

     Attributes

     protected

299. val stoppingRounds: IntParam

     

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300. val stoppingTolerance: DoubleParam

     

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301. def stringArrayParam(name: String, doc: String): StringArrayParam

     

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     Definition Classes

     ParameterConstructorMethods

302. def stringParam(name: String, doc: String): Param[String]

     

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     Definition Classes

     ParameterConstructorMethods

303. val subsample: DoubleParam

     

     Attributes

     protected

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

     

     Definition Classes

     AnyRef

305. def toString(): String

     

     Definition Classes

     Identifiable → AnyRef → Any

306. final val trainingMetrics: MapStringDoubleParam

     

     Attributes

     protected

     Definition Classes

     H2OMOJOModel

307. final val trainingMetricsObject: NullableMetricsParam

     

     Attributes

     protected

     Definition Classes

     H2OMOJOModel

308. final val trainingParams: MapStringStringParam

     

     Attributes

     protected

     Definition Classes

     H2OMOJOModel

309. def transform(dataset: Dataset[_]): DataFrame

     

     Definition Classes

     H2OAlgorithmMOJOModel → Transformer

310. def transform(dataset: Dataset[_], paramMap: ParamMap): DataFrame

     

     Definition Classes

     Transformer

     Annotations

     @Since( "2.0.0" )

311. def transform(dataset: Dataset[_], firstParamPair: ParamPair[_], otherParamPairs: ParamPair[_]*): DataFrame

     

     Definition Classes

     Transformer

     Annotations

     @Since( "2.0.0" ) @varargs()

312. def transformSchema(schema: StructType): StructType

     

     Definition Classes

     H2OSupervisedMOJOModel → H2OAlgorithmMOJOModel → PipelineStage

     Annotations

     @DeveloperApi()

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

     

     Attributes

     protected

     Definition Classes

     PipelineStage

     Annotations

     @DeveloperApi()

314. val treeMethod: NullableStringParam

     

     Attributes

     protected

315. val tweediePower: DoubleParam

     

     Attributes

     protected

316. val uid: String

     

     Definition Classes

     H2OXGBoostMOJOModel → H2OTreeBasedSupervisedMOJOModel → H2OSupervisedMOJOModel → H2OAlgorithmMOJOModel → Identifiable

317. def unwrapMojoModel(): MojoModel

     

     The method returns an internal H2O-3 mojo model, which can be subsequently used with EasyPredictModelWrapper to perform predictions on individual rows.

     The method returns an internal H2O-3 mojo model, which can be subsequently used with EasyPredictModelWrapper to perform predictions on individual rows.

     Definition Classes

     H2OMOJOModel

318. final val validationMetrics: MapStringDoubleParam

     

     Attributes

     protected

     Definition Classes

     H2OMOJOModel

319. final val validationMetricsObject: NullableMetricsParam

     

     Attributes

     protected

     Definition Classes

     H2OMOJOModel

320. final def wait(): Unit

     

     Definition Classes

     AnyRef

     Annotations

     @throws( ... )

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

     

     Definition Classes

     AnyRef

     Annotations

     @throws( ... )

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

     

     Definition Classes

     AnyRef

     Annotations

     @throws( ... )

323. val weightCol: NullableStringParam

     

     Attributes

     protected

324. final val withContributions: BooleanParam

     

     Attributes

     protected

     Definition Classes

     H2OAlgorithmMOJOParams

325. final val withDetailedPredictionCol: BooleanParam

     

     Attributes

     protected

     Definition Classes

     H2OAlgorithmMOJOParams

326. final val withLeafNodeAssignments: BooleanParam

     

     Attributes

     protected

     Definition Classes

     H2OAlgorithmMOJOParams

327. final val withStageResults: BooleanParam

     

     Attributes

     protected

     Definition Classes

     H2OAlgorithmMOJOParams

328. def write: MLWriter

     

     Definition Classes

     H2OMOJOWritable → MLWritable