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. var crossValidationModelsScoringHistory: NullableDataFrameArrayParam

    

    Attributes

    protected

    Definition Classes

    H2OMOJOModel

31. final val dataFrameSerializer: Param[String]

    

    Attributes

    protected

    Definition Classes

    HasDataFrameSerializer

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

    

    Attributes

    protected

    Definition Classes

    Params

33. final val defaultThreshold: DoubleParam

    

    Attributes

    protected

    Definition Classes

    H2OMOJOModel

34. final val detailedPredictionCol: Param[String]

    

    Attributes

    protected

    Definition Classes

    H2OAlgorithmMOJOParams

35. val distribution: NullableStringParam

    

    Attributes

    protected

36. val dmatrixType: NullableStringParam

    

    Attributes

    protected

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

    

    Attributes

    protected

    Definition Classes

    ParameterConstructorMethods

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

    

    Attributes

    protected

    Definition Classes

    ParameterConstructorMethods

39. final val endTime: LongParam

    

    Attributes

    protected

    Definition Classes

    H2OMOJOModel

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

    

    Definition Classes

    AnyRef

41. def equals(arg0: Any): Boolean

    

    Definition Classes

    AnyRef → Any

42. val eta: DoubleParam

    

    Attributes

    protected

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

    

    Definition Classes

    Params

44. def explainParams(): String

    

    Definition Classes

    Params

45. val exportCheckpointsDir: NullableStringParam

    

    Attributes

    protected

46. def extractAnomalyPredictionColContent(): Column

    

    Definition Classes

    H2OMOJOPredictionAnomaly

47. def extractBinomialPredictionColContent(): Column

    

    Definition Classes

    H2OMOJOPredictionBinomial

48. def extractClusteringPredictionColContent(): Column

    

    Definition Classes

    H2OMOJOPredictionClustering

49. def extractCoxPHPredictionColContent(): Column

    

    Definition Classes

    H2OMOJOPredictionCoxPH

50. def extractCrossValidationMetricsSummary(modelJson: JsonObject): DataFrame

    

    Attributes

    protected

    Definition Classes

    H2OMOJOModelUtils

51. def extractDimReductionSimplePredictionColContent(): Column

    

    Definition Classes

    H2OMOJOPredictionDimReduction

52. def extractFeatureImportances(outputJson: JsonObject): DataFrame

    

    Attributes

    protected

    Definition Classes

    H2OMOJOModelUtils

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

    

    Attributes

    protected

    Definition Classes

    H2OMOJOModelUtils

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

    

    Attributes

    protected

    Definition Classes

    H2OMOJOModelUtils

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

    

    Attributes

    protected

    Definition Classes

    H2OMOJOModelUtils

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

    

    Attributes

    protected

    Definition Classes

    H2OMOJOModelUtils

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

    

    Attributes

    protected

    Definition Classes

    H2OMOJOModelUtils

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

    

    Attributes

    protected

    Definition Classes

    H2OMOJOModelUtils

59. def extractModelSummary(outputJson: JsonObject): DataFrame

    

    Attributes

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

    Definition Classes

    H2OMOJOModelUtils

60. def extractMultinomialPredictionColContent(): Column

    

    Definition Classes

    H2OMOJOPredictionMultinomial

61. def extractOrdinalPredictionColContent(): Column

    

    Definition Classes

    H2OMOJOPredictionOrdinal

62. final def extractParamMap(): ParamMap

    

    Definition Classes

    Params

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

    

    Definition Classes

    Params

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

    

    Attributes

    protected

    Definition Classes

    H2OMOJOModelUtils

65. def extractPredictionColContent(): Column

    

    Definition Classes

    H2OMOJOPrediction

66. def extractRegressionPredictionColContent(): Column

    

    Definition Classes

    H2OMOJOPredictionRegression

67. def extractScoringHistory(outputJson: JsonObject): DataFrame

    

    Attributes

    protected

    Definition Classes

    H2OMOJOModelUtils

68. def extractWordEmbeddingPredictionColContent(): Column

    

    Definition Classes

    H2OMOJOPredictionWordEmbedding

69. final val featureImportances: NullableDataFrameParam

    

    Attributes

    protected

    Definition Classes

    H2OMOJOModel

70. final val featureTypes: MapStringStringParam

    

    Attributes

    protected

    Definition Classes

    HasFeatureTypesOnMOJO

71. final val featuresCols: StringArrayParam

    

    Attributes

    protected

    Definition Classes

    H2OAlgorithmMOJOParams

72. def finalize(): Unit

    

    Attributes

    protected[java.lang]

    Definition Classes

    AnyRef

    Annotations

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

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

    

    Attributes

    protected

    Definition Classes

    ParameterConstructorMethods

74. val foldAssignment: NullableStringParam

    

    Attributes

    protected

75. val foldCol: NullableStringParam

    

    Attributes

    protected

76. val gainsliftBins: IntParam

    

    Attributes

    protected

77. val gamma: FloatParam

    

    Attributes

    protected

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

    

    Definition Classes

    Params

79. def getAnomalyPredictionColSchema(): Seq[StructField]

    

    Definition Classes

    H2OMOJOPredictionAnomaly

80. def getAnomalyPredictionSchema(): StructType

    

    Definition Classes

    H2OMOJOPredictionAnomaly

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

    

    Definition Classes

    H2OMOJOPredictionAnomaly

82. def getAucType(): String

    

83. def getBackend(): String

    

84. def getBinomialPredictionColSchema(): Seq[StructField]

    

    Definition Classes

    H2OMOJOPredictionBinomial

85. def getBinomialPredictionSchema(): StructType

    

    Definition Classes

    H2OMOJOPredictionBinomial

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

    

    Definition Classes

    H2OMOJOPredictionBinomial

87. def getBooster(): String

    

88. def getBuildTreeOneNode(): Boolean

    

89. def getCalibrateModel(): Boolean

    

90. def getCategoricalEncoding(): String

    

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

    

    Definition Classes

    AnyRef → Any

92. def getClusteringPredictionColSchema(): Seq[StructField]

    

    Definition Classes

    H2OMOJOPredictionClustering

93. def getClusteringPredictionSchema(): StructType

    

    Definition Classes

    H2OMOJOPredictionClustering

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

    

    Definition Classes

    H2OMOJOPredictionClustering

95. def getColSampleByLevel(): Double

    

96. def getColSampleByNode(): Double

    

97. def getColSampleByTree(): Double

    

98. def getColSampleRate(): Double

    

99. def getColSampleRatePerTree(): Double

    

100. def getContributionsSchema(model: EasyPredictModelWrapper): DataType

     

     Attributes

     protected

     Definition Classes

     PredictionWithContributions

101. def getConvertInvalidNumbersToNa(): Boolean

     

     Definition Classes

     H2OBaseMOJOParams

102. def getConvertUnknownCategoricalLevelsToNa(): Boolean

     

     Definition Classes

     H2OBaseMOJOParams

103. def getCoxPHPredictionColSchema(): Seq[StructField]

     

     Definition Classes

     H2OMOJOPredictionCoxPH

104. def getCoxPHPredictionSchema(): StructType

     

     Definition Classes

     H2OMOJOPredictionCoxPH

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

     

     Definition Classes

     H2OMOJOPredictionCoxPH

106. 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

107. 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

108. 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

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

     

     Definition Classes

     H2OMOJOModel

110. def getCrossValidationModelsScoringHistory(): Array[DataFrame]

     

     Definition Classes

     H2OMOJOModel

111. 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

112. 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

113. def getDataFrameSerializer(): String

     

     Definition Classes

     HasDataFrameSerializer

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

     

     Definition Classes

     Params

115. def getDefaultThreshold(): Double

     

     Definition Classes

     H2OMOJOModel

116. def getDetailedPredictionCol(): String

     

     Definition Classes

     H2OAlgorithmMOJOParams

117. def getDetailedPredictionColSchema(): Seq[StructField]

     

     Definition Classes

     H2OMOJOPrediction

118. def getDimReductionPredictionColSchema(): Seq[StructField]

     

     Definition Classes

     H2OMOJOPredictionDimReduction

119. def getDimReductionPredictionSchema(): StructType

     

     Definition Classes

     H2OMOJOPredictionDimReduction

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

     

     Definition Classes

     H2OMOJOPredictionDimReduction

121. def getDistribution(): String

     

122. def getDmatrixType(): String

     

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

     

     Definition Classes

     H2OMOJOModel

124. def getEndTime(): Long

     

     Definition Classes

     H2OMOJOModel

125. def getEta(): Double

     

126. def getExportCheckpointsDir(): String

     

127. def getFeatureImportances(): DataFrame

     

     Definition Classes

     H2OMOJOModel

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

     

     Definition Classes

     HasFeatureTypesOnMOJO

129. def getFeaturesCols(): Array[String]

     

     Definition Classes

     H2OAlgorithmMOJOParams

130. def getFoldAssignment(): String

     

131. def getFoldCol(): String

     

132. def getGainsliftBins(): Int

     

133. def getGamma(): Float

     

134. def getGpuId(): Array[Int]

     

135. def getGrowPolicy(): String

     

136. def getIgnoreConstCols(): Boolean

     

137. def getIgnoredCols(): Array[String]

     

     Definition Classes

     HasIgnoredColsOnMOJO

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

     

139. def getKeepCrossValidationFoldAssignment(): Boolean

     

140. def getKeepCrossValidationModels(): Boolean

     

141. def getKeepCrossValidationPredictions(): Boolean

     

142. def getLabelCol(): String

     

143. def getLearnRate(): Double

     

144. def getMaxAbsLeafnodePred(): Float

     

145. def getMaxBins(): Int

     

146. def getMaxDeltaStep(): Float

     

147. def getMaxDepth(): Int

     

148. def getMaxLeaves(): Int

     

149. def getMaxRuntimeSecs(): Double

     

150. def getMinChildWeight(): Double

     

151. def getMinRows(): Double

     

152. def getMinSplitImprovement(): Float

     

153. def getModelCategory(): String

     

     Definition Classes

     H2OMOJOModel

154. def getModelDetails(): String

     

     Definition Classes

     H2OMOJOModel

155. def getModelDetails(modelJson: JsonObject): String

     

     Attributes

     protected

     Definition Classes

     H2OMOJOModelUtils

156. def getModelJson(mojo: File): JsonObject

     

     Attributes

     protected

     Definition Classes

     H2OMOJOModelUtils

157. def getModelSummary(): DataFrame

     

     Definition Classes

     H2OMOJOModel

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

     

     Definition Classes

     HasMonotoneConstraintsOnMOJO

159. def getMultinomialPredictionColSchema(): Seq[StructField]

     

     Definition Classes

     H2OMOJOPredictionMultinomial

160. def getMultinomialPredictionSchema(): StructType

     

     Definition Classes

     H2OMOJOPredictionMultinomial

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

     

     Definition Classes

     H2OMOJOPredictionMultinomial

162. def getNamedMojoOutputColumns(): Boolean

     

     Definition Classes

     H2OAlgorithmMOJOParams

     Annotations

     @DeprecatedMethod( x$2 , x$1 )

163. def getNfolds(): Int

     

164. def getNormalizeType(): String

     

165. def getNthread(): Int

     

166. def getNtrees(): Int

     

     Definition Classes

     H2OTreeBasedMOJOParams

167. def getOffsetCol(): String

     

     Definition Classes

     H2OSupervisedMOJOParams

168. def getOneDrop(): Boolean

     

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

     

     Definition Classes

     Params

170. def getOrdinalPredictionColSchema(): Seq[StructField]

     

     Definition Classes

     H2OMOJOPredictionOrdinal

171. def getOrdinalPredictionSchema(): StructType

     

     Definition Classes

     H2OMOJOPredictionOrdinal

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

     

     Definition Classes

     H2OMOJOPredictionOrdinal

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

     

     Definition Classes

     Params

174. def getPredictionCol(): String

     

     Definition Classes

     H2OAlgorithmMOJOParams

175. def getPredictionColSchema(): Seq[StructField]

     

     Definition Classes

     H2OMOJOPrediction

176. def getPredictionSchema(): StructType

     

     Definition Classes

     H2OMOJOPrediction

177. def getPredictionUDF(): UserDefinedFunction

     

     Definition Classes

     H2OMOJOPrediction

178. def getQuietMode(): Boolean

     

179. def getRateDrop(): Float

     

180. def getRegAlpha(): Float

     

181. def getRegLambda(): Float

     

182. def getRegressionPredictionColSchema(): Seq[StructField]

     

     Definition Classes

     H2OMOJOPredictionRegression

183. def getRegressionPredictionSchema(): StructType

     

     Definition Classes

     H2OMOJOPredictionRegression

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

     

     Definition Classes

     H2OMOJOPredictionRegression

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

     

     Attributes

     protected

     Definition Classes

     H2OMOJOFlattenedInput

186. def getRunTime(): Long

     

     Definition Classes

     H2OMOJOModel

187. def getSampleRate(): Double

     

188. def getSampleType(): String

     

189. def getSaveMatrixDirectory(): String

     

190. def getScalePosWeight(): Float

     

191. def getScoreEachIteration(): Boolean

     

192. def getScoreTreeInterval(): Int

     

193. def getScoringHistory(): DataFrame

     

     Definition Classes

     H2OMOJOModel

194. def getSeed(): Long

     

195. def getSkipDrop(): Float

     

196. def getStageProbabilitiesSchema(model: EasyPredictModelWrapper): DataType

     

     Attributes

     protected

     Definition Classes

     PredictionWithStageProbabilities

197. def getStartTime(): Long

     

     Definition Classes

     H2OMOJOModel

198. def getStoppingMetric(): String

     

199. def getStoppingRounds(): Int

     

200. def getStoppingTolerance(): Double

     

201. def getSubsample(): Double

     

202. 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

203. 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

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

     

     Definition Classes

     H2OMOJOModel

205. def getTreeMethod(): String

     

206. def getTweediePower(): Double

     

207. 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

208. 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

209. def getWeightCol(): String

     

210. def getWithContributions(): Boolean

     

     Definition Classes

     H2OAlgorithmMOJOParams

211. def getWithLeafNodeAssignments(): Boolean

     

     Definition Classes

     H2OAlgorithmMOJOParams

212. def getWithStageResults(): Boolean

     

     Definition Classes

     H2OAlgorithmMOJOParams

213. def getWordEmbeddingPredictionColSchema(): Seq[StructField]

     

     Definition Classes

     H2OMOJOPredictionWordEmbedding

214. def getWordEmbeddingPredictionSchema(): StructType

     

     Definition Classes

     H2OMOJOPredictionWordEmbedding

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

     

     Definition Classes

     H2OMOJOPredictionWordEmbedding

216. val gpuId: NullableIntArrayParam

     

     Attributes

     protected

217. val growPolicy: NullableStringParam

     

     Attributes

     protected

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

     

     Definition Classes

     Params

219. def hasParam(paramName: String): Boolean

     

     Definition Classes

     Params

220. def hasParent: Boolean

     

     Definition Classes

     Model

221. def hashCode(): Int

     

     Definition Classes

     AnyRef → Any

222. val ignoreConstCols: BooleanParam

     

     Attributes

     protected

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

     

     Attributes

     protected

     Definition Classes

     Logging

224. def initializeLogIfNecessary(isInterpreter: Boolean): Unit

     

     Attributes

     protected

     Definition Classes

     Logging

225. def inputColumnNames: Array[String]

     

     Attributes

     protected

     Definition Classes

     H2OAlgorithmMOJOModel → H2OMOJOFlattenedInput

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

     

     Attributes

     protected

     Definition Classes

     ParameterConstructorMethods

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

     

     Attributes

     protected

     Definition Classes

     ParameterConstructorMethods

228. val interactionConstraints: NullableStringArrayArrayParam

     

     Attributes

     protected

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

     

     Definition Classes

     Params

230. final def isInstanceOf[T0]: Boolean

     

     Definition Classes

     Any

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

     

     Definition Classes

     Params

232. def isTraceEnabled(): Boolean

     

     Attributes

     protected

     Definition Classes

     Logging

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

     

     Attributes

     protected

     Definition Classes

     H2OMOJOModelUtils

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

     

     Attributes

     protected

     Definition Classes

     H2OMOJOModelUtils

235. val keepCrossValidationFoldAssignment: BooleanParam

     

     Attributes

     protected

236. val keepCrossValidationModels: BooleanParam

     

     Attributes

     protected

237. val keepCrossValidationPredictions: BooleanParam

     

     Attributes

     protected

238. val labelCol: Param[String]

     

     Attributes

     protected

239. val learnRate: DoubleParam

     

     Attributes

     protected

240. def log: Logger

     

     Attributes

     protected

     Definition Classes

     Logging

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

     

     Attributes

     protected

     Definition Classes

     Logging

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

     

     Attributes

     protected

     Definition Classes

     Logging

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

     

     Attributes

     protected

     Definition Classes

     Logging

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

     

     Attributes

     protected

     Definition Classes

     Logging

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

     

     Attributes

     protected

     Definition Classes

     Logging

246. def logInfo(msg: ⇒ String): Unit

     

     Attributes

     protected

     Definition Classes

     Logging

247. def logName: String

     

     Attributes

     protected

     Definition Classes

     Logging

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

     

     Attributes

     protected

     Definition Classes

     Logging

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

     

     Attributes

     protected

     Definition Classes

     Logging

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

     

     Attributes

     protected

     Definition Classes

     Logging

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

     

     Attributes

     protected

     Definition Classes

     Logging

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

     

     Attributes

     protected

     Definition Classes

     ParameterConstructorMethods

253. val maxAbsLeafnodePred: FloatParam

     

     Attributes

     protected

254. val maxBins: IntParam

     

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     protected

255. val maxDeltaStep: FloatParam

     

     Attributes

     protected

256. val maxDepth: IntParam

     

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     protected

257. val maxLeaves: IntParam

     

     Attributes

     protected

258. val maxRuntimeSecs: DoubleParam

     

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     protected

259. val minChildWeight: DoubleParam

     

     Attributes

     protected

260. val minRows: DoubleParam

     

     Attributes

     protected

261. val minSplitImprovement: FloatParam

     

     Attributes

     protected

262. final val modelCategory: NullableStringParam

     

     Attributes

     protected

     Definition Classes

     H2OMOJOModel

263. final val modelDetails: NullableStringParam

     

     Attributes

     protected

     Definition Classes

     H2OMOJOModel

264. final val modelSummary: NullableDataFrameParam

     

     Attributes

     protected

     Definition Classes

     H2OMOJOModel

265. final val namedMojoOutputColumns: Param[Boolean]

     

     Attributes

     protected

     Definition Classes

     H2OAlgorithmMOJOParams

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

     

     Definition Classes

     AnyRef

267. val nfolds: IntParam

     

     Attributes

     protected

268. val nonSerializableField: AnyRef

     

     Definition Classes

     H2OMOJOModel

269. val normalizeType: NullableStringParam

     

     Attributes

     protected

270. final def notify(): Unit

     

     Definition Classes

     AnyRef

271. final def notifyAll(): Unit

     

     Definition Classes

     AnyRef

272. val nthread: IntParam

     

     Attributes

     protected

273. final val ntrees: IntParam

     

     Attributes

     protected

     Definition Classes

     H2OTreeBasedMOJOParams

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

     

     Attributes

     protected

     Definition Classes

     H2OMOJOModel

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

     

     Attributes

     protected

     Definition Classes

     ParameterConstructorMethods

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

     

     Attributes

     protected

     Definition Classes

     ParameterConstructorMethods

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

     

     Attributes

     protected

     Definition Classes

     ParameterConstructorMethods

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

     

     Attributes

     protected

     Definition Classes

     ParameterConstructorMethods

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

     

     Attributes

     protected

     Definition Classes

     ParameterConstructorMethods

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

     

     Attributes

     protected

     Definition Classes

     ParameterConstructorMethods

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

     

     Attributes

     protected

     Definition Classes

     ParameterConstructorMethods

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

     

     Attributes

     protected

     Definition Classes

     ParameterConstructorMethods

283. val oneDrop: BooleanParam

     

     Attributes

     protected

284. def outputColumnName: String

     

     Attributes

     protected

     Definition Classes

     H2OAlgorithmMOJOModel → H2OMOJOFlattenedInput

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

     

     Attributes

     protected

     Definition Classes

     ParameterConstructorMethods

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

     

     Definition Classes

     Params

287. var parent: Estimator[H2OMOJOModel]

     

     Definition Classes

     Model

288. final val predictionCol: Param[String]

     

     Attributes

     protected

     Definition Classes

     H2OAlgorithmMOJOParams

289. val quietMode: BooleanParam

     

     Attributes

     protected

290. val rateDrop: FloatParam

     

     Attributes

     protected

291. val regAlpha: FloatParam

     

     Attributes

     protected

292. val regLambda: FloatParam

     

     Attributes

     protected

293. final val runTime: LongParam

     

     Attributes

     protected

     Definition Classes

     H2OMOJOModel

294. val sampleRate: DoubleParam

     

     Attributes

     protected

295. val sampleType: NullableStringParam

     

     Attributes

     protected

296. def save(path: String): Unit

     

     Definition Classes

     MLWritable

     Annotations

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

297. val saveMatrixDirectory: NullableStringParam

     

     Attributes

     protected

298. val scalePosWeight: FloatParam

     

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     protected

299. val scoreEachIteration: BooleanParam

     

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     protected

300. val scoreTreeInterval: IntParam

     

     Attributes

     protected

301. final val scoringHistory: NullableDataFrameParam

     

     Attributes

     protected

     Definition Classes

     H2OMOJOModel

302. val seed: LongParam

     

     Attributes

     protected

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

     

     Attributes

     protected

     Definition Classes

     Params

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

     

     Attributes

     protected

     Definition Classes

     Params

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

     

     Definition Classes

     Params

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

     

     Definition Classes

     H2OBaseMOJOParams

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

     

     Attributes

     protected

     Definition Classes

     Params

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

     

     Attributes

     protected

     Definition Classes

     Params

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

     

     Definition Classes

     HasMojo

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

     

     Definition Classes

     HasMojo

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

     

     Definition Classes

     HasMojo

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

     

     Definition Classes

     Model

313. val skipDrop: FloatParam

     

     Attributes

     protected

314. final val startTime: LongParam

     

     Attributes

     protected

     Definition Classes

     H2OMOJOModel

315. val stoppingMetric: NullableStringParam

     

     Attributes

     protected

316. val stoppingRounds: IntParam

     

     Attributes

     protected

317. val stoppingTolerance: DoubleParam

     

     Attributes

     protected

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

     

     Attributes

     protected

     Definition Classes

     ParameterConstructorMethods

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

     

     Attributes

     protected

     Definition Classes

     ParameterConstructorMethods

320. val subsample: DoubleParam

     

     Attributes

     protected

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

     

     Definition Classes

     AnyRef

322. def toString(): String

     

     Definition Classes

     H2OMOJOModel → Identifiable → AnyRef → Any

323. final val trainingMetrics: MapStringDoubleParam

     

     Attributes

     protected

     Definition Classes

     H2OMOJOModel

324. final val trainingMetricsObject: NullableMetricsParam

     

     Attributes

     protected

     Definition Classes

     H2OMOJOModel

325. final val trainingParams: MapStringStringParam

     

     Attributes

     protected

     Definition Classes

     H2OMOJOModel

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

     

     Definition Classes

     H2OAlgorithmMOJOModel → Transformer

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

     

     Definition Classes

     Transformer

     Annotations

     @Since( "2.0.0" )

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

     

     Definition Classes

     Transformer

     Annotations

     @Since( "2.0.0" ) @varargs()

329. def transformSchema(schema: StructType): StructType

     

     Definition Classes

     H2OSupervisedMOJOModel → H2OAlgorithmMOJOModel → PipelineStage

     Annotations

     @DeveloperApi()

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

     

     Attributes

     protected

     Definition Classes

     PipelineStage

     Annotations

     @DeveloperApi()

331. val treeMethod: NullableStringParam

     

     Attributes

     protected

332. val tweediePower: DoubleParam

     

     Attributes

     protected

333. val uid: String

     

     Definition Classes

     H2OXGBoostMOJOModel → H2OTreeBasedSupervisedMOJOModel → H2OSupervisedMOJOModel → H2OAlgorithmMOJOModel → Identifiable

334. 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

335. final val validationMetrics: MapStringDoubleParam

     

     Attributes

     protected

     Definition Classes

     H2OMOJOModel

336. final val validationMetricsObject: NullableMetricsParam

     

     Attributes

     protected

     Definition Classes

     H2OMOJOModel

337. final def wait(): Unit

     

     Definition Classes

     AnyRef

     Annotations

     @throws( ... )

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

     

     Definition Classes

     AnyRef

     Annotations

     @throws( ... )

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

     

     Definition Classes

     AnyRef

     Annotations

     @throws( ... )

340. val weightCol: NullableStringParam

     

     Attributes

     protected

341. final val withContributions: BooleanParam

     

     Attributes

     protected

     Definition Classes

     H2OAlgorithmMOJOParams

342. final val withLeafNodeAssignments: BooleanParam

     

     Attributes

     protected

     Definition Classes

     H2OAlgorithmMOJOParams

343. final val withStageResults: BooleanParam

     

     Attributes

     protected

     Definition Classes

     H2OAlgorithmMOJOParams

344. def write: MLWriter

     

     Definition Classes

     H2OMOJOWritable → MLWritable