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. final val coefficients: NullableDataFrameParam

    

    Attributes

    protected

    Definition Classes

    H2OMOJOModel

18. val colSampleByLevel: DoubleParam

    

    Attributes

    protected

19. val colSampleByNode: DoubleParam

    

    Attributes

    protected

20. val colSampleByTree: DoubleParam

    

    Attributes

    protected

21. val colSampleRate: DoubleParam

    

    Attributes

    protected

22. val colSampleRatePerTree: DoubleParam

    

    Attributes

    protected

23. final val convertInvalidNumbersToNa: BooleanParam

    

    Attributes

    protected

    Definition Classes

    H2OBaseMOJOParams

24. final val convertUnknownCategoricalLevelsToNa: BooleanParam

    

    Attributes

    protected

    Definition Classes

    H2OBaseMOJOParams

25. def copy(extra: ParamMap): H2OMOJOModel

    

    Definition Classes

    H2OMOJOModel → Model → Transformer → PipelineStage → Params

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

    

    Attributes

    protected

    Definition Classes

    Params

27. final val crossValidationMetrics: MapStringDoubleParam

    

    Attributes

    protected

    Definition Classes

    H2OMOJOModel

28. final val crossValidationMetricsObject: NullableMetricsParam

    

    Attributes

    protected

    Definition Classes

    H2OMOJOModel

29. final val crossValidationMetricsSummary: NullableDataFrameParam

    

    Attributes

    protected

    Definition Classes

    H2OMOJOModel

30. var crossValidationModels: Array[H2OMOJOModel]

    

    Attributes

    protected

    Definition Classes

    H2OMOJOModel

31. var crossValidationModelsScoringHistory: NullableDataFrameArrayParam

    

    Attributes

    protected

    Definition Classes

    H2OMOJOModel

32. final val dataFrameSerializer: Param[String]

    

    Attributes

    protected

    Definition Classes

    HasDataFrameSerializer

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

    

    Attributes

    protected

    Definition Classes

    Params

34. final val defaultThreshold: DoubleParam

    

    Attributes

    protected

    Definition Classes

    H2OMOJOModel

35. final val detailedPredictionCol: Param[String]

    

    Attributes

    protected

    Definition Classes

    H2OAlgorithmMOJOParams

36. val distribution: NullableStringParam

    

    Attributes

    protected

37. val dmatrixType: NullableStringParam

    

    Attributes

    protected

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

    

    Attributes

    protected

    Definition Classes

    ParameterConstructorMethods

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

    

    Attributes

    protected

    Definition Classes

    ParameterConstructorMethods

40. final val endTime: LongParam

    

    Attributes

    protected

    Definition Classes

    H2OMOJOModel

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

    

    Definition Classes

    AnyRef

42. def equals(arg0: Any): Boolean

    

    Definition Classes

    AnyRef → Any

43. val eta: DoubleParam

    

    Attributes

    protected

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

    

    Definition Classes

    Params

45. def explainParams(): String

    

    Definition Classes

    Params

46. val exportCheckpointsDir: NullableStringParam

    

    Attributes

    protected

47. def extractAnomalyPredictionColContent(): Column

    

    Definition Classes

    H2OMOJOPredictionAnomaly

48. def extractBinomialPredictionColContent(): Column

    

    Definition Classes

    H2OMOJOPredictionBinomial

49. def extractClusteringPredictionColContent(): Column

    

    Definition Classes

    H2OMOJOPredictionClustering

50. def extractCoefficients(outputJson: JsonObject): DataFrame

    

    Attributes

    protected

    Definition Classes

    H2OMOJOModelUtils

51. def extractCoxPHPredictionColContent(): Column

    

    Definition Classes

    H2OMOJOPredictionCoxPH

52. def extractCrossValidationMetricsSummary(modelJson: JsonObject): DataFrame

    

    Attributes

    protected

    Definition Classes

    H2OMOJOModelUtils

53. def extractDimReductionSimplePredictionColContent(): Column

    

    Definition Classes

    H2OMOJOPredictionDimReduction

54. def extractFeatureImportances(outputJson: JsonObject): DataFrame

    

    Attributes

    protected

    Definition Classes

    H2OMOJOModelUtils

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

    

    Attributes

    protected

    Definition Classes

    H2OMOJOModelUtils

56. def extractJsonFieldValue[T](outputJson: JsonObject, fieldName: String, getValue: (JsonElement) ⇒ T, defaultValue: T): T

    

    Attributes

    protected

    Definition Classes

    H2OMOJOModelUtils

57. def extractJsonTables(outputJson: JsonObject, fieldName: String): Array[DataFrame]

    

    Attributes

    protected

    Definition Classes

    H2OMOJOModelUtils

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

    

    Attributes

    protected

    Definition Classes

    H2OMOJOModelUtils

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

    

    Attributes

    protected

    Definition Classes

    H2OMOJOModelUtils

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

    

    Attributes

    protected

    Definition Classes

    H2OMOJOModelUtils

61. def extractModelSummary(outputJson: JsonObject): DataFrame

    

    Attributes

    protected[ai.h2o.sparkling.ml.models]

    Definition Classes

    H2OMOJOModelUtils

62. def extractMultinomialPredictionColContent(): Column

    

    Definition Classes

    H2OMOJOPredictionMultinomial

63. def extractOrdinalPredictionColContent(): Column

    

    Definition Classes

    H2OMOJOPredictionOrdinal

64. final def extractParamMap(): ParamMap

    

    Definition Classes

    Params

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

    

    Definition Classes

    Params

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

    

    Attributes

    protected

    Definition Classes

    H2OMOJOModelUtils

67. def extractPredictionColContent(): Column

    

    Definition Classes

    H2OMOJOPrediction

68. def extractRegressionPredictionColContent(): Column

    

    Definition Classes

    H2OMOJOPredictionRegression

69. def extractScoringHistory(outputJson: JsonObject): DataFrame

    

    Attributes

    protected

    Definition Classes

    H2OMOJOModelUtils

70. def extractWordEmbeddingPredictionColContent(): Column

    

    Definition Classes

    H2OMOJOPredictionWordEmbedding

71. final val featureImportances: NullableDataFrameParam

    

    Attributes

    protected

    Definition Classes

    H2OMOJOModel

72. final val featureTypes: MapStringStringParam

    

    Attributes

    protected

    Definition Classes

    HasFeatureTypesOnMOJO

73. final val featuresCols: StringArrayParam

    

    Attributes

    protected

    Definition Classes

    H2OAlgorithmMOJOParams

74. def finalize(): Unit

    

    Attributes

    protected[java.lang]

    Definition Classes

    AnyRef

    Annotations

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

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

    

    Attributes

    protected

    Definition Classes

    ParameterConstructorMethods

76. val foldAssignment: NullableStringParam

    

    Attributes

    protected

77. val foldCol: NullableStringParam

    

    Attributes

    protected

78. val gainsliftBins: IntParam

    

    Attributes

    protected

79. val gamma: FloatParam

    

    Attributes

    protected

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

    

    Definition Classes

    Params

81. def getAnomalyPredictionColSchema(): Seq[StructField]

    

    Definition Classes

    H2OMOJOPredictionAnomaly

82. def getAnomalyPredictionSchema(): StructType

    

    Definition Classes

    H2OMOJOPredictionAnomaly

83. def getAnomalyPredictionUDF(schema: StructType, modelUID: String, mojoFileName: String, configInitializers: Seq[(Config) ⇒ Config]): UserDefinedFunction

    

    Definition Classes

    H2OMOJOPredictionAnomaly

84. def getAucType(): String

    

85. def getBackend(): String

    

86. def getBinomialPredictionColSchema(): Seq[StructField]

    

    Definition Classes

    H2OMOJOPredictionBinomial

87. def getBinomialPredictionSchema(): StructType

    

    Definition Classes

    H2OMOJOPredictionBinomial

88. def getBinomialPredictionUDF(schema: StructType, modelUID: String, mojoFileName: String, configInitializers: Seq[(Config) ⇒ Config]): UserDefinedFunction

    

    Definition Classes

    H2OMOJOPredictionBinomial

89. def getBooster(): String

    

90. def getBuildTreeOneNode(): Boolean

    

91. def getCalibrateModel(): Boolean

    

92. def getCategoricalEncoding(): String

    

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

    

    Definition Classes

    AnyRef → Any

94. def getClusteringPredictionColSchema(): Seq[StructField]

    

    Definition Classes

    H2OMOJOPredictionClustering

95. def getClusteringPredictionSchema(): StructType

    

    Definition Classes

    H2OMOJOPredictionClustering

96. def getClusteringPredictionUDF(schema: StructType, modelUID: String, mojoFileName: String, configInitializers: Seq[(Config) ⇒ Config]): UserDefinedFunction

    

    Definition Classes

    H2OMOJOPredictionClustering

97. def getCoefficients(): DataFrame

    

    Definition Classes

    H2OMOJOModel

98. def getColSampleByLevel(): Double

    

99. def getColSampleByNode(): Double

    

100. def getColSampleByTree(): Double

     

101. def getColSampleRate(): Double

     

102. def getColSampleRatePerTree(): Double

     

103. def getContributionsSchema(model: EasyPredictModelWrapper): DataType

     

     Attributes

     protected

     Definition Classes

     PredictionWithContributions

104. def getConvertInvalidNumbersToNa(): Boolean

     

     Definition Classes

     H2OBaseMOJOParams

105. def getConvertUnknownCategoricalLevelsToNa(): Boolean

     

     Definition Classes

     H2OBaseMOJOParams

106. def getCoxPHPredictionColSchema(): Seq[StructField]

     

     Definition Classes

     H2OMOJOPredictionCoxPH

107. def getCoxPHPredictionSchema(): StructType

     

     Definition Classes

     H2OMOJOPredictionCoxPH

108. def getCoxPHPredictionUDF(schema: StructType, modelUID: String, mojoFileName: String, configInitializers: Seq[(Config) ⇒ Config]): UserDefinedFunction

     

     Definition Classes

     H2OMOJOPredictionCoxPH

109. 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

110. 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

111. 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

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

     

     Definition Classes

     H2OMOJOModel

113. def getCrossValidationModelsScoringHistory(): Array[DataFrame]

     

     Definition Classes

     H2OMOJOModel

114. 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

115. 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

116. def getDataFrameSerializer(): String

     

     Definition Classes

     HasDataFrameSerializer

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

     

     Definition Classes

     Params

118. def getDefaultThreshold(): Double

     

     Definition Classes

     H2OMOJOModel

119. def getDetailedPredictionCol(): String

     

     Definition Classes

     H2OAlgorithmMOJOParams

120. def getDetailedPredictionColSchema(): Seq[StructField]

     

     Definition Classes

     H2OMOJOPrediction

121. def getDimReductionPredictionColSchema(): Seq[StructField]

     

     Definition Classes

     H2OMOJOPredictionDimReduction

122. def getDimReductionPredictionSchema(): StructType

     

     Definition Classes

     H2OMOJOPredictionDimReduction

123. def getDimReductionPredictionUDF(schema: StructType, modelUID: String, mojoFileName: String, configInitializers: Seq[(Config) ⇒ Config]): UserDefinedFunction

     

     Definition Classes

     H2OMOJOPredictionDimReduction

124. def getDistribution(): String

     

125. def getDmatrixType(): String

     

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

     

     Definition Classes

     H2OMOJOModel

127. def getEndTime(): Long

     

     Definition Classes

     H2OMOJOModel

128. def getEta(): Double

     

129. def getExportCheckpointsDir(): String

     

130. def getFeatureImportances(): DataFrame

     

     Definition Classes

     H2OMOJOModel

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

     

     Definition Classes

     HasFeatureTypesOnMOJO

132. def getFeaturesCols(): Array[String]

     

     Definition Classes

     H2OAlgorithmMOJOParams

133. def getFoldAssignment(): String

     

134. def getFoldCol(): String

     

135. def getGainsliftBins(): Int

     

136. def getGamma(): Float

     

137. def getGpuId(): Array[Int]

     

138. def getGrowPolicy(): String

     

139. def getIgnoreConstCols(): Boolean

     

140. def getIgnoredCols(): Array[String]

     

     Definition Classes

     HasIgnoredColsOnMOJO

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

     

142. def getKeepCrossValidationFoldAssignment(): Boolean

     

143. def getKeepCrossValidationModels(): Boolean

     

144. def getKeepCrossValidationPredictions(): Boolean

     

145. def getLabelCol(): String

     

146. def getLearnRate(): Double

     

147. def getMaxAbsLeafnodePred(): Float

     

148. def getMaxBins(): Int

     

149. def getMaxDeltaStep(): Float

     

150. def getMaxDepth(): Int

     

151. def getMaxLeaves(): Int

     

152. def getMaxRuntimeSecs(): Double

     

153. def getMinChildWeight(): Double

     

154. def getMinRows(): Double

     

155. def getMinSplitImprovement(): Float

     

156. def getModelCategory(): String

     

     Definition Classes

     H2OMOJOModel

157. def getModelDetails(): String

     

     Definition Classes

     H2OMOJOModel

158. def getModelDetails(modelJson: JsonObject): String

     

     Attributes

     protected

     Definition Classes

     H2OMOJOModelUtils

159. def getModelJson(mojo: File): JsonObject

     

     Attributes

     protected

     Definition Classes

     H2OMOJOModelUtils

160. def getModelSummary(): DataFrame

     

     Definition Classes

     H2OMOJOModel

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

     

     Definition Classes

     HasMonotoneConstraintsOnMOJO

162. def getMultinomialPredictionColSchema(): Seq[StructField]

     

     Definition Classes

     H2OMOJOPredictionMultinomial

163. def getMultinomialPredictionSchema(): StructType

     

     Definition Classes

     H2OMOJOPredictionMultinomial

164. def getMultinomialPredictionUDF(schema: StructType, modelUID: String, mojoFileName: String, configInitializers: Seq[(Config) ⇒ Config]): UserDefinedFunction

     

     Definition Classes

     H2OMOJOPredictionMultinomial

165. def getNamedMojoOutputColumns(): Boolean

     

     Definition Classes

     H2OAlgorithmMOJOParams

     Annotations

     @DeprecatedMethod( x$2 , x$1 )

166. def getNfolds(): Int

     

167. def getNormalizeType(): String

     

168. def getNthread(): Int

     

169. def getNtrees(): Int

     

     Definition Classes

     H2OTreeBasedMOJOParams

170. def getOffsetCol(): String

     

     Definition Classes

     H2OSupervisedMOJOParams

171. def getOneDrop(): Boolean

     

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

     

     Definition Classes

     Params

173. def getOrdinalPredictionColSchema(): Seq[StructField]

     

     Definition Classes

     H2OMOJOPredictionOrdinal

174. def getOrdinalPredictionSchema(): StructType

     

     Definition Classes

     H2OMOJOPredictionOrdinal

175. def getOrdinalPredictionUDF(schema: StructType, modelUID: String, mojoFileName: String, configInitializers: Seq[(Config) ⇒ Config]): UserDefinedFunction

     

     Definition Classes

     H2OMOJOPredictionOrdinal

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

     

     Definition Classes

     Params

177. def getPredictionCol(): String

     

     Definition Classes

     H2OAlgorithmMOJOParams

178. def getPredictionColSchema(): Seq[StructField]

     

     Definition Classes

     H2OMOJOPrediction

179. def getPredictionSchema(): StructType

     

     Definition Classes

     H2OMOJOPrediction

180. def getPredictionUDF(): UserDefinedFunction

     

     Definition Classes

     H2OMOJOPrediction

181. def getQuietMode(): Boolean

     

182. def getRateDrop(): Float

     

183. def getRegAlpha(): Float

     

184. def getRegLambda(): Float

     

185. def getRegressionPredictionColSchema(): Seq[StructField]

     

     Definition Classes

     H2OMOJOPredictionRegression

186. def getRegressionPredictionSchema(): StructType

     

     Definition Classes

     H2OMOJOPredictionRegression

187. def getRegressionPredictionUDF(schema: StructType, modelUID: String, mojoFileName: String, configInitializers: Seq[(Config) ⇒ Config]): UserDefinedFunction

     

     Definition Classes

     H2OMOJOPredictionRegression

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

     

     Attributes

     protected

     Definition Classes

     H2OMOJOFlattenedInput

189. def getRunTime(): Long

     

     Definition Classes

     H2OMOJOModel

190. def getSampleRate(): Double

     

191. def getSampleType(): String

     

192. def getSaveMatrixDirectory(): String

     

193. def getScalePosWeight(): Float

     

194. def getScoreEachIteration(): Boolean

     

195. def getScoreTreeInterval(): Int

     

196. def getScoringHistory(): DataFrame

     

     Definition Classes

     H2OMOJOModel

197. def getSeed(): Long

     

198. def getSkipDrop(): Float

     

199. def getStageProbabilitiesSchema(model: EasyPredictModelWrapper): DataType

     

     Attributes

     protected

     Definition Classes

     PredictionWithStageProbabilities

200. def getStartTime(): Long

     

     Definition Classes

     H2OMOJOModel

201. def getStoppingMetric(): String

     

202. def getStoppingRounds(): Int

     

203. def getStoppingTolerance(): Double

     

204. def getSubsample(): Double

     

205. 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

206. 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

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

     

     Definition Classes

     H2OMOJOModel

208. def getTreeMethod(): String

     

209. def getTweediePower(): Double

     

210. 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

211. 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

212. def getWeightCol(): String

     

213. def getWithContributions(): Boolean

     

     Definition Classes

     H2OAlgorithmMOJOParams

214. def getWithLeafNodeAssignments(): Boolean

     

     Definition Classes

     H2OAlgorithmMOJOParams

215. def getWithStageResults(): Boolean

     

     Definition Classes

     H2OAlgorithmMOJOParams

216. def getWordEmbeddingPredictionColSchema(): Seq[StructField]

     

     Definition Classes

     H2OMOJOPredictionWordEmbedding

217. def getWordEmbeddingPredictionSchema(): StructType

     

     Definition Classes

     H2OMOJOPredictionWordEmbedding

218. def getWordEmbeddingPredictionUDF(schema: StructType, modelUID: String, mojoFileName: String, configInitializers: Seq[(Config) ⇒ Config], featureCols: Seq[String]): UserDefinedFunction

     

     Definition Classes

     H2OMOJOPredictionWordEmbedding

219. val gpuId: NullableIntArrayParam

     

     Attributes

     protected

220. val growPolicy: NullableStringParam

     

     Attributes

     protected

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

     

     Definition Classes

     Params

222. def hasParam(paramName: String): Boolean

     

     Definition Classes

     Params

223. def hasParent: Boolean

     

     Definition Classes

     Model

224. def hashCode(): Int

     

     Definition Classes

     AnyRef → Any

225. val ignoreConstCols: BooleanParam

     

     Attributes

     protected

226. def initializeLogIfNecessary(isInterpreter: Boolean): Unit

     

     Attributes

     protected

     Definition Classes

     Logging

227. def inputColumnNames: Array[String]

     

     Attributes

     protected

     Definition Classes

     H2OAlgorithmMOJOModel → H2OMOJOFlattenedInput

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

     

     Attributes

     protected

     Definition Classes

     ParameterConstructorMethods

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

     

     Attributes

     protected

     Definition Classes

     ParameterConstructorMethods

230. val interactionConstraints: NullableStringArrayArrayParam

     

     Attributes

     protected

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

     

     Definition Classes

     Params

232. final def isInstanceOf[T0]: Boolean

     

     Definition Classes

     Any

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

     

     Definition Classes

     Params

234. def isTraceEnabled(): Boolean

     

     Attributes

     protected

     Definition Classes

     Logging

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

     

     Attributes

     protected

     Definition Classes

     H2OMOJOModelUtils

236. def jsonFieldToDoubleArray(outputJson: JsonObject, fieldName: String): Array[Double]

     

     Attributes

     protected

     Definition Classes

     H2OMOJOModelUtils

237. val keepCrossValidationFoldAssignment: BooleanParam

     

     Attributes

     protected

238. val keepCrossValidationModels: BooleanParam

     

     Attributes

     protected

239. val keepCrossValidationPredictions: BooleanParam

     

     Attributes

     protected

240. val labelCol: Param[String]

     

     Attributes

     protected

241. val learnRate: DoubleParam

     

     Attributes

     protected

242. def log: Logger

     

     Attributes

     protected

     Definition Classes

     Logging

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

     

     Attributes

     protected

     Definition Classes

     Logging

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

     

     Attributes

     protected

     Definition Classes

     Logging

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

     

     Attributes

     protected

     Definition Classes

     Logging

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

     

     Attributes

     protected

     Definition Classes

     Logging

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

     

     Attributes

     protected

     Definition Classes

     Logging

248. def logInfo(msg: ⇒ String): Unit

     

     Attributes

     protected

     Definition Classes

     Logging

249. def logName: String

     

     Attributes

     protected

     Definition Classes

     Logging

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

     

     Attributes

     protected

     Definition Classes

     Logging

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

     

     Attributes

     protected

     Definition Classes

     Logging

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

     

     Attributes

     protected

     Definition Classes

     Logging

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

     

     Attributes

     protected

     Definition Classes

     Logging

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

     

     Attributes

     protected

     Definition Classes

     ParameterConstructorMethods

255. val maxAbsLeafnodePred: FloatParam

     

     Attributes

     protected

256. val maxBins: IntParam

     

     Attributes

     protected

257. val maxDeltaStep: FloatParam

     

     Attributes

     protected

258. val maxDepth: IntParam

     

     Attributes

     protected

259. val maxLeaves: IntParam

     

     Attributes

     protected

260. val maxRuntimeSecs: DoubleParam

     

     Attributes

     protected

261. val minChildWeight: DoubleParam

     

     Attributes

     protected

262. val minRows: DoubleParam

     

     Attributes

     protected

263. val minSplitImprovement: FloatParam

     

     Attributes

     protected

264. final val modelCategory: NullableStringParam

     

     Attributes

     protected

     Definition Classes

     H2OMOJOModel

265. final val modelDetails: NullableStringParam

     

     Attributes

     protected

     Definition Classes

     H2OMOJOModel

266. final val modelSummary: NullableDataFrameParam

     

     Attributes

     protected

     Definition Classes

     H2OMOJOModel

267. final val namedMojoOutputColumns: Param[Boolean]

     

     Attributes

     protected

     Definition Classes

     H2OAlgorithmMOJOParams

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

     

     Definition Classes

     AnyRef

269. def nestedJsonFieldToDataFrame(outputJson: JsonObject, parentFieldName: String, fieldName: String): DataFrame

     

     Attributes

     protected

     Definition Classes

     H2OMOJOModelUtils

270. val nfolds: IntParam

     

     Attributes

     protected

271. val nonSerializableField: AnyRef

     

     Definition Classes

     H2OMOJOModel

272. val normalizeType: NullableStringParam

     

     Attributes

     protected

273. final def notify(): Unit

     

     Definition Classes

     AnyRef

274. final def notifyAll(): Unit

     

     Definition Classes

     AnyRef

275. val nthread: IntParam

     

     Attributes

     protected

276. final val ntrees: IntParam

     

     Attributes

     protected

     Definition Classes

     H2OTreeBasedMOJOParams

277. def nullableDataFrameParam(name: String, doc: String): NullableDataFrameParam

     

     Attributes

     protected

     Definition Classes

     H2OMOJOModel

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

     

     Attributes

     protected

     Definition Classes

     ParameterConstructorMethods

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

     

     Attributes

     protected

     Definition Classes

     ParameterConstructorMethods

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

     

     Attributes

     protected

     Definition Classes

     ParameterConstructorMethods

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

     

     Attributes

     protected

     Definition Classes

     ParameterConstructorMethods

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

     

     Attributes

     protected

     Definition Classes

     ParameterConstructorMethods

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

     

     Attributes

     protected

     Definition Classes

     ParameterConstructorMethods

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

     

     Attributes

     protected

     Definition Classes

     ParameterConstructorMethods

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

     

     Attributes

     protected

     Definition Classes

     ParameterConstructorMethods

286. val oneDrop: BooleanParam

     

     Attributes

     protected

287. def outputColumnName: String

     

     Attributes

     protected

     Definition Classes

     H2OAlgorithmMOJOModel → H2OMOJOFlattenedInput

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

     

     Attributes

     protected

     Definition Classes

     ParameterConstructorMethods

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

     

     Definition Classes

     Params

290. var parent: Estimator[H2OMOJOModel]

     

     Definition Classes

     Model

291. final val predictionCol: Param[String]

     

     Attributes

     protected

     Definition Classes

     H2OAlgorithmMOJOParams

292. val quietMode: BooleanParam

     

     Attributes

     protected

293. val rateDrop: FloatParam

     

     Attributes

     protected

294. val regAlpha: FloatParam

     

     Attributes

     protected

295. val regLambda: FloatParam

     

     Attributes

     protected

296. final val runTime: LongParam

     

     Attributes

     protected

     Definition Classes

     H2OMOJOModel

297. val sampleRate: DoubleParam

     

     Attributes

     protected

298. val sampleType: NullableStringParam

     

     Attributes

     protected

299. def save(path: String): Unit

     

     Definition Classes

     MLWritable

     Annotations

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

300. val saveMatrixDirectory: NullableStringParam

     

     Attributes

     protected

301. val scalePosWeight: FloatParam

     

     Attributes

     protected

302. val scoreEachIteration: BooleanParam

     

     Attributes

     protected

303. val scoreTreeInterval: IntParam

     

     Attributes

     protected

304. final val scoringHistory: NullableDataFrameParam

     

     Attributes

     protected

     Definition Classes

     H2OMOJOModel

305. val seed: LongParam

     

     Attributes

     protected

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

     

     Attributes

     protected

     Definition Classes

     Params

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

     

     Attributes

     protected

     Definition Classes

     Params

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

     

     Definition Classes

     Params

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

     

     Definition Classes

     H2OBaseMOJOParams

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

     

     Attributes

     protected

     Definition Classes

     Params

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

     

     Attributes

     protected

     Definition Classes

     Params

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

     

     Definition Classes

     HasMojo

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

     

     Definition Classes

     HasMojo

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

     

     Definition Classes

     HasMojo

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

     

     Definition Classes

     Model

316. val skipDrop: FloatParam

     

     Attributes

     protected

317. final val startTime: LongParam

     

     Attributes

     protected

     Definition Classes

     H2OMOJOModel

318. val stoppingMetric: NullableStringParam

     

     Attributes

     protected

319. val stoppingRounds: IntParam

     

     Attributes

     protected

320. val stoppingTolerance: DoubleParam

     

     Attributes

     protected

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

     

     Attributes

     protected

     Definition Classes

     ParameterConstructorMethods

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

     

     Attributes

     protected

     Definition Classes

     ParameterConstructorMethods

323. val subsample: DoubleParam

     

     Attributes

     protected

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

     

     Definition Classes

     AnyRef

325. def toString(): String

     

     Definition Classes

     H2OMOJOModel → Identifiable → AnyRef → Any

326. final val trainingMetrics: MapStringDoubleParam

     

     Attributes

     protected

     Definition Classes

     H2OMOJOModel

327. final val trainingMetricsObject: NullableMetricsParam

     

     Attributes

     protected

     Definition Classes

     H2OMOJOModel

328. final val trainingParams: MapStringStringParam

     

     Attributes

     protected

     Definition Classes

     H2OMOJOModel

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

     

     Definition Classes

     H2OAlgorithmMOJOModel → Transformer

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

     

     Definition Classes

     Transformer

     Annotations

     @Since( "2.0.0" )

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

     

     Definition Classes

     Transformer

     Annotations

     @Since( "2.0.0" ) @varargs()

332. def transformSchema(schema: StructType): StructType

     

     Definition Classes

     H2OSupervisedMOJOModel → H2OAlgorithmMOJOModel → PipelineStage

     Annotations

     @DeveloperApi()

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

     

     Attributes

     protected

     Definition Classes

     PipelineStage

     Annotations

     @DeveloperApi()

334. val treeMethod: NullableStringParam

     

     Attributes

     protected

335. val tweediePower: DoubleParam

     

     Attributes

     protected

336. val uid: String

     

     Definition Classes

     H2OXGBoostMOJOModel → H2OTreeBasedSupervisedMOJOModel → H2OSupervisedMOJOModel → H2OAlgorithmMOJOModel → Identifiable

337. 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

338. final val validationMetrics: MapStringDoubleParam

     

     Attributes

     protected

     Definition Classes

     H2OMOJOModel

339. final val validationMetricsObject: NullableMetricsParam

     

     Attributes

     protected

     Definition Classes

     H2OMOJOModel

340. final def wait(): Unit

     

     Definition Classes

     AnyRef

     Annotations

     @throws( ... )

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

     

     Definition Classes

     AnyRef

     Annotations

     @throws( ... )

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

     

     Definition Classes

     AnyRef

     Annotations

     @throws( ... )

343. val weightCol: NullableStringParam

     

     Attributes

     protected

344. final val withContributions: BooleanParam

     

     Attributes

     protected

     Definition Classes

     H2OAlgorithmMOJOParams

345. final val withLeafNodeAssignments: BooleanParam

     

     Attributes

     protected

     Definition Classes

     H2OAlgorithmMOJOParams

346. final val withStageResults: BooleanParam

     

     Attributes

     protected

     Definition Classes

     H2OAlgorithmMOJOParams

347. def write: MLWriter

     

     Definition Classes

     H2OMOJOWritable → MLWritable