H2ODeepLearningMOJOModel

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. val activation: NullableStringParam

   

   Attributes

   protected

6. val adaptiveRate: BooleanParam

   

   Attributes

   protected

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

   

   Attributes

   protected

   Definition Classes

   H2OMOJOFlattenedInput

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

   

   Attributes

   protected

   Definition Classes

   H2OSupervisedMOJOModel → H2OMOJOModel → H2OMOJOFlattenedInput

9. final def asInstanceOf[T0]: T0

   

   Definition Classes

   Any

10. val aucType: NullableStringParam

    

    Attributes

    protected

11. val averageActivation: DoubleParam

    

    Attributes

    protected

12. val balanceClasses: BooleanParam

    

    Attributes

    protected

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

    

    Attributes

    protected

    Definition Classes

    ParameterConstructorMethods

14. val calculateFeatureImportances: BooleanParam

    

    Attributes

    protected

15. val categoricalEncoding: NullableStringParam

    

    Attributes

    protected

16. val classSamplingFactors: NullableFloatArrayParam

    

    Attributes

    protected

17. val classificationStop: DoubleParam

    

    Attributes

    protected

18. final def clear(param: Param[_]): H2ODeepLearningMOJOModel.this.type

    

    Definition Classes

    Params

19. def clone(): AnyRef

    

    Attributes

    protected[java.lang]

    Definition Classes

    AnyRef

    Annotations

    @throws( ... )

20. final val coefficients: NullableDataFrameParam

    

    Attributes

    protected

    Definition Classes

    H2OMOJOModel

21. final val convertInvalidNumbersToNa: BooleanParam

    

    Attributes

    protected

    Definition Classes

    H2OBaseMOJOParams

22. final val convertUnknownCategoricalLevelsToNa: BooleanParam

    

    Attributes

    protected

    Definition Classes

    H2OBaseMOJOParams

23. def copy(extra: ParamMap): H2OMOJOModel

    

    Definition Classes

    H2OMOJOModel → Model → Transformer → PipelineStage → Params

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

    

    Attributes

    protected

    Definition Classes

    Params

25. final val crossValidationMetrics: MapStringDoubleParam

    

    Attributes

    protected

    Definition Classes

    H2OMOJOModel

26. final val crossValidationMetricsObject: NullableMetricsParam

    

    Attributes

    protected

    Definition Classes

    H2OMOJOModel

27. final val crossValidationMetricsSummary: NullableDataFrameParam

    

    Attributes

    protected

    Definition Classes

    H2OMOJOModel

28. var crossValidationModels: Array[H2OMOJOModel]

    

    Attributes

    protected

    Definition Classes

    H2OMOJOModel

29. var crossValidationModelsScoringHistory: NullableDataFrameArrayParam

    

    Attributes

    protected

    Definition Classes

    H2OMOJOModel

30. val customMetricFunc: NullableStringParam

    

    Attributes

    protected

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 diagnostics: BooleanParam

    

    Attributes

    protected

36. val distribution: 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. val elasticAveraging: BooleanParam

    

    Attributes

    protected

40. val elasticAveragingMovingRate: DoubleParam

    

    Attributes

    protected

41. val elasticAveragingRegularization: DoubleParam

    

    Attributes

    protected

42. final val endTime: LongParam

    

    Attributes

    protected

    Definition Classes

    H2OMOJOModel

43. val epochs: DoubleParam

    

    Attributes

    protected

44. val epsilon: DoubleParam

    

    Attributes

    protected

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

    

    Definition Classes

    AnyRef

46. def equals(arg0: Any): Boolean

    

    Definition Classes

    AnyRef → Any

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

    

    Definition Classes

    Params

48. def explainParams(): String

    

    Definition Classes

    Params

49. val exportCheckpointsDir: NullableStringParam

    

    Attributes

    protected

50. val exportWeightsAndBiases: BooleanParam

    

    Attributes

    protected

51. def extractAnomalyPredictionColContent(): Column

    

    Definition Classes

    H2OMOJOPredictionAnomaly

52. def extractBinomialPredictionColContent(): Column

    

    Definition Classes

    H2OMOJOPredictionBinomial

53. def extractClusteringPredictionColContent(): Column

    

    Definition Classes

    H2OMOJOPredictionClustering

54. def extractCoefficients(outputJson: JsonObject): DataFrame

    

    Attributes

    protected

    Definition Classes

    H2OMOJOModelUtils

55. def extractCoxPHPredictionColContent(): Column

    

    Definition Classes

    H2OMOJOPredictionCoxPH

56. def extractCrossValidationMetricsSummary(modelJson: JsonObject): DataFrame

    

    Attributes

    protected

    Definition Classes

    H2OMOJOModelUtils

57. def extractDimReductionSimplePredictionColContent(): Column

    

    Definition Classes

    H2OMOJOPredictionDimReduction

58. def extractFeatureImportances(outputJson: JsonObject): DataFrame

    

    Attributes

    protected

    Definition Classes

    H2OMOJOModelUtils

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

    

    Attributes

    protected

    Definition Classes

    H2OMOJOModelUtils

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

    

    Attributes

    protected

    Definition Classes

    H2OMOJOModelUtils

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

    

    Attributes

    protected

    Definition Classes

    H2OMOJOModelUtils

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

    

    Attributes

    protected

    Definition Classes

    H2OMOJOModelUtils

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

    

    Attributes

    protected

    Definition Classes

    H2OMOJOModelUtils

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

    

    Attributes

    protected

    Definition Classes

    H2OMOJOModelUtils

65. def extractModelSummary(outputJson: JsonObject): DataFrame

    

    Attributes

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

    Definition Classes

    H2OMOJOModelUtils

66. def extractMultinomialPredictionColContent(): Column

    

    Definition Classes

    H2OMOJOPredictionMultinomial

67. def extractOrdinalPredictionColContent(): Column

    

    Definition Classes

    H2OMOJOPredictionOrdinal

68. final def extractParamMap(): ParamMap

    

    Definition Classes

    Params

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

    

    Definition Classes

    Params

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

    

    Attributes

    protected

    Definition Classes

    H2OMOJOModelUtils

71. def extractPredictionColContent(): Column

    

    Definition Classes

    H2OMOJOPrediction

72. def extractRegressionPredictionColContent(): Column

    

    Definition Classes

    H2OMOJOPredictionRegression

73. def extractScoringHistory(outputJson: JsonObject): DataFrame

    

    Attributes

    protected

    Definition Classes

    H2OMOJOModelUtils

74. def extractWordEmbeddingPredictionColContent(): Column

    

    Definition Classes

    H2OMOJOPredictionWordEmbedding

75. val fastMode: BooleanParam

    

    Attributes

    protected

76. final val featureImportances: NullableDataFrameParam

    

    Attributes

    protected

    Definition Classes

    H2OMOJOModel

77. final val featureTypes: MapStringStringParam

    

    Attributes

    protected

    Definition Classes

    HasFeatureTypesOnMOJO

78. final val featuresCols: StringArrayParam

    

    Attributes

    protected

    Definition Classes

    H2OAlgorithmMOJOParams

79. def finalize(): Unit

    

    Attributes

    protected[java.lang]

    Definition Classes

    AnyRef

    Annotations

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

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

    

    Attributes

    protected

    Definition Classes

    ParameterConstructorMethods

81. val foldAssignment: NullableStringParam

    

    Attributes

    protected

82. val foldCol: NullableStringParam

    

    Attributes

    protected

83. val forceLoadBalance: BooleanParam

    

    Attributes

    protected

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

    

    Definition Classes

    Params

85. def getActivation(): String

    

86. def getAdaptiveRate(): Boolean

    

87. def getAnomalyPredictionColSchema(): Seq[StructField]

    

    Definition Classes

    H2OMOJOPredictionAnomaly

88. def getAnomalyPredictionSchema(): StructType

    

    Definition Classes

    H2OMOJOPredictionAnomaly

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

    

    Definition Classes

    H2OMOJOPredictionAnomaly

90. def getAucType(): String

    

91. def getAverageActivation(): Double

    

92. def getBalanceClasses(): Boolean

    

93. def getBinomialPredictionColSchema(): Seq[StructField]

    

    Definition Classes

    H2OMOJOPredictionBinomial

94. def getBinomialPredictionSchema(): StructType

    

    Definition Classes

    H2OMOJOPredictionBinomial

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

    

    Definition Classes

    H2OMOJOPredictionBinomial

96. def getCalculateFeatureImportances(): Boolean

    

97. def getCategoricalEncoding(): String

    

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

    

    Definition Classes

    AnyRef → Any

99. def getClassSamplingFactors(): Array[Float]

    

100. def getClassificationStop(): Double

     

101. def getClusteringPredictionColSchema(): Seq[StructField]

     

     Definition Classes

     H2OMOJOPredictionClustering

102. def getClusteringPredictionSchema(): StructType

     

     Definition Classes

     H2OMOJOPredictionClustering

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

     

     Definition Classes

     H2OMOJOPredictionClustering

104. def getCoefficients(): DataFrame

     

     Definition Classes

     H2OMOJOModel

105. def getContributionsSchema(model: EasyPredictModelWrapper): DataType

     

     Attributes

     protected

     Definition Classes

     PredictionWithContributions

106. def getConvertInvalidNumbersToNa(): Boolean

     

     Definition Classes

     H2OBaseMOJOParams

107. def getConvertUnknownCategoricalLevelsToNa(): Boolean

     

     Definition Classes

     H2OBaseMOJOParams

108. def getCoxPHPredictionColSchema(): Seq[StructField]

     

     Definition Classes

     H2OMOJOPredictionCoxPH

109. def getCoxPHPredictionSchema(): StructType

     

     Definition Classes

     H2OMOJOPredictionCoxPH

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

     

     Definition Classes

     H2OMOJOPredictionCoxPH

111. 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

112. 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

113. 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

114. def getCrossValidationModels(): Seq[H2ODeepLearningMOJOModel.this.type]

     

     Definition Classes

     H2OMOJOModel

115. def getCrossValidationModelsScoringHistory(): Array[DataFrame]

     

     Definition Classes

     H2OMOJOModel

116. 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

117. 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

118. def getCustomMetricFunc(): String

     

119. def getDataFrameSerializer(): String

     

     Definition Classes

     HasDataFrameSerializer

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

     

     Definition Classes

     Params

121. def getDefaultThreshold(): Double

     

     Definition Classes

     H2OMOJOModel

122. def getDetailedPredictionCol(): String

     

     Definition Classes

     H2OAlgorithmMOJOParams

123. def getDetailedPredictionColSchema(): Seq[StructField]

     

     Definition Classes

     H2OMOJOPrediction

124. def getDiagnostics(): Boolean

     

125. def getDimReductionPredictionColSchema(): Seq[StructField]

     

     Definition Classes

     H2OMOJOPredictionDimReduction

126. def getDimReductionPredictionSchema(): StructType

     

     Definition Classes

     H2OMOJOPredictionDimReduction

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

     

     Definition Classes

     H2OMOJOPredictionDimReduction

128. def getDistribution(): String

     

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

     

     Definition Classes

     H2OMOJOModel

130. def getElasticAveraging(): Boolean

     

131. def getElasticAveragingMovingRate(): Double

     

132. def getElasticAveragingRegularization(): Double

     

133. def getEndTime(): Long

     

     Definition Classes

     H2OMOJOModel

134. def getEpochs(): Double

     

135. def getEpsilon(): Double

     

136. def getExportCheckpointsDir(): String

     

137. def getExportWeightsAndBiases(): Boolean

     

138. def getFastMode(): Boolean

     

139. def getFeatureImportances(): DataFrame

     

     Definition Classes

     H2OMOJOModel

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

     

     Definition Classes

     HasFeatureTypesOnMOJO

141. def getFeaturesCols(): Array[String]

     

     Definition Classes

     H2OAlgorithmMOJOParams

142. def getFoldAssignment(): String

     

143. def getFoldCol(): String

     

144. def getForceLoadBalance(): Boolean

     

145. def getHidden(): Array[Int]

     

146. def getHiddenDropoutRatios(): Array[Double]

     

147. def getHuberAlpha(): Double

     

148. def getIgnoreConstCols(): Boolean

     

149. def getIgnoredCols(): Array[String]

     

     Definition Classes

     HasIgnoredColsOnMOJO

150. def getInitialWeightDistribution(): String

     

151. def getInitialWeightScale(): Double

     

152. def getInputDropoutRatio(): Double

     

153. def getKeepCrossValidationFoldAssignment(): Boolean

     

154. def getKeepCrossValidationModels(): Boolean

     

155. def getKeepCrossValidationPredictions(): Boolean

     

156. def getL1(): Double

     

157. def getL2(): Double

     

158. def getLabelCol(): String

     

159. def getLoss(): String

     

160. def getMaxAfterBalanceSize(): Float

     

161. def getMaxCategoricalFeatures(): Int

     

162. def getMaxRuntimeSecs(): Double

     

163. def getMaxW2(): Float

     

164. def getMiniBatchSize(): Int

     

165. def getMissingValuesHandling(): String

     

166. def getModelCategory(): String

     

     Definition Classes

     H2OMOJOModel

167. def getModelDetails(): String

     

     Definition Classes

     H2OMOJOModel

168. def getModelDetails(modelJson: JsonObject): String

     

     Attributes

     protected

     Definition Classes

     H2OMOJOModelUtils

169. def getModelJson(mojo: File): JsonObject

     

     Attributes

     protected

     Definition Classes

     H2OMOJOModelUtils

170. def getModelSummary(): DataFrame

     

     Definition Classes

     H2OMOJOModel

171. def getMomentumRamp(): Double

     

172. def getMomentumStable(): Double

     

173. def getMomentumStart(): Double

     

174. def getMultinomialPredictionColSchema(): Seq[StructField]

     

     Definition Classes

     H2OMOJOPredictionMultinomial

175. def getMultinomialPredictionSchema(): StructType

     

     Definition Classes

     H2OMOJOPredictionMultinomial

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

     

     Definition Classes

     H2OMOJOPredictionMultinomial

177. def getNesterovAcceleratedGradient(): Boolean

     

178. def getNfolds(): Int

     

179. def getOffsetCol(): String

     

     Definition Classes

     H2OSupervisedMOJOParams

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

     

     Definition Classes

     Params

181. def getOrdinalPredictionColSchema(): Seq[StructField]

     

     Definition Classes

     H2OMOJOPredictionOrdinal

182. def getOrdinalPredictionSchema(): StructType

     

     Definition Classes

     H2OMOJOPredictionOrdinal

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

     

     Definition Classes

     H2OMOJOPredictionOrdinal

184. def getOverwriteWithBestModel(): Boolean

     

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

     

     Definition Classes

     Params

186. def getPredictionCol(): String

     

     Definition Classes

     H2OAlgorithmMOJOParams

187. def getPredictionColSchema(): Seq[StructField]

     

     Definition Classes

     H2OMOJOPrediction

188. def getPredictionSchema(): StructType

     

     Definition Classes

     H2OMOJOPrediction

189. def getPredictionUDF(): UserDefinedFunction

     

     Definition Classes

     H2OMOJOPrediction

190. def getQuantileAlpha(): Double

     

191. def getQuietMode(): Boolean

     

192. def getRate(): Double

     

193. def getRateAnnealing(): Double

     

194. def getRateDecay(): Double

     

195. def getRegressionPredictionColSchema(): Seq[StructField]

     

     Definition Classes

     H2OMOJOPredictionRegression

196. def getRegressionPredictionSchema(): StructType

     

     Definition Classes

     H2OMOJOPredictionRegression

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

     

     Definition Classes

     H2OMOJOPredictionRegression

198. def getRegressionStop(): Double

     

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

     

     Attributes

     protected

     Definition Classes

     H2OMOJOFlattenedInput

200. def getReplicateTrainingData(): Boolean

     

201. def getReproducible(): Boolean

     

202. def getRho(): Double

     

203. def getRunTime(): Long

     

     Definition Classes

     H2OMOJOModel

204. def getScoreDutyCycle(): Double

     

205. def getScoreEachIteration(): Boolean

     

206. def getScoreInterval(): Double

     

207. def getScoreTrainingSamples(): Long

     

208. def getScoreValidationSamples(): Long

     

209. def getScoreValidationSampling(): String

     

210. def getScoringHistory(): DataFrame

     

     Definition Classes

     H2OMOJOModel

211. def getSeed(): Long

     

212. def getShuffleTrainingData(): Boolean

     

213. def getSingleNodeMode(): Boolean

     

214. def getSparse(): Boolean

     

215. def getSparsityBeta(): Double

     

216. def getStageProbabilitiesSchema(model: EasyPredictModelWrapper): DataType

     

     Attributes

     protected

     Definition Classes

     PredictionWithStageProbabilities

217. def getStandardize(): Boolean

     

218. def getStartTime(): Long

     

     Definition Classes

     H2OMOJOModel

219. def getStoppingMetric(): String

     

220. def getStoppingRounds(): Int

     

221. def getStoppingTolerance(): Double

     

222. def getTargetRatioCommToComp(): Double

     

223. def getTrainSamplesPerIteration(): Long

     

224. 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

225. 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

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

     

     Definition Classes

     H2OMOJOModel

227. def getTweediePower(): Double

     

228. def getUseAllFactorLevels(): Boolean

     

229. 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

230. 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

231. def getWeightCol(): String

     

232. def getWithContributions(): Boolean

     

     Definition Classes

     H2OAlgorithmMOJOParams

233. def getWithLeafNodeAssignments(): Boolean

     

     Definition Classes

     H2OAlgorithmMOJOParams

234. def getWithStageResults(): Boolean

     

     Definition Classes

     H2OAlgorithmMOJOParams

235. def getWordEmbeddingPredictionColSchema(): Seq[StructField]

     

     Definition Classes

     H2OMOJOPredictionWordEmbedding

236. def getWordEmbeddingPredictionSchema(): StructType

     

     Definition Classes

     H2OMOJOPredictionWordEmbedding

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

     

     Definition Classes

     H2OMOJOPredictionWordEmbedding

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

     

     Definition Classes

     Params

239. def hasParam(paramName: String): Boolean

     

     Definition Classes

     Params

240. def hasParent: Boolean

     

     Definition Classes

     Model

241. def hashCode(): Int

     

     Definition Classes

     AnyRef → Any

242. val hidden: IntArrayParam

     

     Attributes

     protected

243. val hiddenDropoutRatios: NullableDoubleArrayParam

     

     Attributes

     protected

244. val huberAlpha: DoubleParam

     

     Attributes

     protected

245. val ignoreConstCols: BooleanParam

     

     Attributes

     protected

246. val initialWeightDistribution: NullableStringParam

     

     Attributes

     protected

247. val initialWeightScale: DoubleParam

     

     Attributes

     protected

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

     

     Attributes

     protected

     Definition Classes

     Logging

249. def initializeLogIfNecessary(isInterpreter: Boolean): Unit

     

     Attributes

     protected

     Definition Classes

     Logging

250. def inputColumnNames: Array[String]

     

     Attributes

     protected

     Definition Classes

     H2OAlgorithmMOJOModel → H2OMOJOFlattenedInput

251. val inputDropoutRatio: DoubleParam

     

     Attributes

     protected

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

     

     Attributes

     protected

     Definition Classes

     ParameterConstructorMethods

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

     

     Attributes

     protected

     Definition Classes

     ParameterConstructorMethods

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

     

     Definition Classes

     Params

255. final def isInstanceOf[T0]: Boolean

     

     Definition Classes

     Any

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

     

     Definition Classes

     Params

257. def isTraceEnabled(): Boolean

     

     Attributes

     protected

     Definition Classes

     Logging

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

     

     Attributes

     protected

     Definition Classes

     H2OMOJOModelUtils

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

     

     Attributes

     protected

     Definition Classes

     H2OMOJOModelUtils

260. val keepCrossValidationFoldAssignment: BooleanParam

     

     Attributes

     protected

261. val keepCrossValidationModels: BooleanParam

     

     Attributes

     protected

262. val keepCrossValidationPredictions: BooleanParam

     

     Attributes

     protected

263. val l1: DoubleParam

     

     Attributes

     protected

264. val l2: DoubleParam

     

     Attributes

     protected

265. val labelCol: Param[String]

     

     Attributes

     protected

266. def log: Logger

     

     Attributes

     protected

     Definition Classes

     Logging

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

     

     Attributes

     protected

     Definition Classes

     Logging

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

     

     Attributes

     protected

     Definition Classes

     Logging

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

     

     Attributes

     protected

     Definition Classes

     Logging

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

     

     Attributes

     protected

     Definition Classes

     Logging

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

     

     Attributes

     protected

     Definition Classes

     Logging

272. def logInfo(msg: ⇒ String): Unit

     

     Attributes

     protected

     Definition Classes

     Logging

273. def logName: String

     

     Attributes

     protected

     Definition Classes

     Logging

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

     

     Attributes

     protected

     Definition Classes

     Logging

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

     

     Attributes

     protected

     Definition Classes

     Logging

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

     

     Attributes

     protected

     Definition Classes

     Logging

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

     

     Attributes

     protected

     Definition Classes

     Logging

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

     

     Attributes

     protected

     Definition Classes

     ParameterConstructorMethods

279. val loss: NullableStringParam

     

     Attributes

     protected

280. val maxAfterBalanceSize: FloatParam

     

     Attributes

     protected

281. val maxCategoricalFeatures: IntParam

     

     Attributes

     protected

282. val maxRuntimeSecs: DoubleParam

     

     Attributes

     protected

283. val maxW2: FloatParam

     

     Attributes

     protected

284. val miniBatchSize: IntParam

     

     Attributes

     protected

285. val missingValuesHandling: NullableStringParam

     

     Attributes

     protected

286. final val modelCategory: NullableStringParam

     

     Attributes

     protected

     Definition Classes

     H2OMOJOModel

287. final val modelDetails: NullableStringParam

     

     Attributes

     protected

     Definition Classes

     H2OMOJOModel

288. final val modelSummary: NullableDataFrameParam

     

     Attributes

     protected

     Definition Classes

     H2OMOJOModel

289. val momentumRamp: DoubleParam

     

     Attributes

     protected

290. val momentumStable: DoubleParam

     

     Attributes

     protected

291. val momentumStart: DoubleParam

     

     Attributes

     protected

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

     

     Definition Classes

     AnyRef

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

     

     Attributes

     protected

     Definition Classes

     H2OMOJOModelUtils

294. val nesterovAcceleratedGradient: BooleanParam

     

     Attributes

     protected

295. val nfolds: IntParam

     

     Attributes

     protected

296. val nonSerializableField: AnyRef

     

     Definition Classes

     H2OMOJOModel

297. final def notify(): Unit

     

     Definition Classes

     AnyRef

298. final def notifyAll(): Unit

     

     Definition Classes

     AnyRef

299. def nullableBooleanArrayParam(name: String, doc: String): NullableBooleanArrayParam

     

     Attributes

     protected

     Definition Classes

     ParameterConstructorMethods

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

     

     Attributes

     protected

     Definition Classes

     H2OMOJOModel

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

     

     Attributes

     protected

     Definition Classes

     ParameterConstructorMethods

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

     

     Attributes

     protected

     Definition Classes

     ParameterConstructorMethods

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

     

     Attributes

     protected

     Definition Classes

     ParameterConstructorMethods

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

     

     Attributes

     protected

     Definition Classes

     ParameterConstructorMethods

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

     

     Attributes

     protected

     Definition Classes

     ParameterConstructorMethods

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

     

     Attributes

     protected

     Definition Classes

     ParameterConstructorMethods

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

     

     Attributes

     protected

     Definition Classes

     ParameterConstructorMethods

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

     

     Attributes

     protected

     Definition Classes

     ParameterConstructorMethods

309. def outputColumnName: String

     

     Attributes

     protected

     Definition Classes

     H2OAlgorithmMOJOModel → H2OMOJOFlattenedInput

310. val overwriteWithBestModel: BooleanParam

     

     Attributes

     protected

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

     

     Attributes

     protected

     Definition Classes

     ParameterConstructorMethods

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

     

     Definition Classes

     Params

313. var parent: Estimator[H2OMOJOModel]

     

     Definition Classes

     Model

314. final val predictionCol: Param[String]

     

     Attributes

     protected

     Definition Classes

     H2OAlgorithmMOJOParams

315. val quantileAlpha: DoubleParam

     

     Attributes

     protected

316. val quietMode: BooleanParam

     

     Attributes

     protected

317. val rate: DoubleParam

     

     Attributes

     protected

318. val rateAnnealing: DoubleParam

     

     Attributes

     protected

319. val rateDecay: DoubleParam

     

     Attributes

     protected

320. val regressionStop: DoubleParam

     

     Attributes

     protected

321. val replicateTrainingData: BooleanParam

     

     Attributes

     protected

322. val reproducible: BooleanParam

     

     Attributes

     protected

323. val rho: DoubleParam

     

     Attributes

     protected

324. final val runTime: LongParam

     

     Attributes

     protected

     Definition Classes

     H2OMOJOModel

325. def save(path: String): Unit

     

     Definition Classes

     MLWritable

     Annotations

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

326. val scoreDutyCycle: DoubleParam

     

     Attributes

     protected

327. val scoreEachIteration: BooleanParam

     

     Attributes

     protected

328. val scoreInterval: DoubleParam

     

     Attributes

     protected

329. val scoreTrainingSamples: LongParam

     

     Attributes

     protected

330. val scoreValidationSamples: LongParam

     

     Attributes

     protected

331. val scoreValidationSampling: NullableStringParam

     

     Attributes

     protected

332. final val scoringHistory: NullableDataFrameParam

     

     Attributes

     protected

     Definition Classes

     H2OMOJOModel

333. val seed: LongParam

     

     Attributes

     protected

334. final def set(paramPair: ParamPair[_]): H2ODeepLearningMOJOModel.this.type

     

     Attributes

     protected

     Definition Classes

     Params

335. final def set(param: String, value: Any): H2ODeepLearningMOJOModel.this.type

     

     Attributes

     protected

     Definition Classes

     Params

336. final def set[T](param: Param[T], value: T): H2ODeepLearningMOJOModel.this.type

     

     Definition Classes

     Params

337. def setDataFrameSerializer(fullClassName: String): H2ODeepLearningMOJOModel.this.type

     

     Definition Classes

     H2OBaseMOJOParams

338. final def setDefault(paramPairs: ParamPair[_]*): H2ODeepLearningMOJOModel.this.type

     

     Attributes

     protected

     Definition Classes

     Params

339. final def setDefault[T](param: Param[T], value: T): H2ODeepLearningMOJOModel.this.type

     

     Attributes

     protected

     Definition Classes

     Params

340. def setMojo(mojo: File): H2ODeepLearningMOJOModel.this.type

     

     Definition Classes

     HasMojo

341. def setMojo(mojo: InputStream, mojoName: String): H2ODeepLearningMOJOModel.this.type

     

     Definition Classes

     HasMojo

342. def setMojo(mojo: InputStream): H2ODeepLearningMOJOModel.this.type

     

     Definition Classes

     HasMojo

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

     

     Definition Classes

     Model

344. val shuffleTrainingData: BooleanParam

     

     Attributes

     protected

345. val singleNodeMode: BooleanParam

     

     Attributes

     protected

346. val sparse: BooleanParam

     

     Attributes

     protected

347. val sparsityBeta: DoubleParam

     

     Attributes

     protected

348. val standardize: BooleanParam

     

     Attributes

     protected

349. final val startTime: LongParam

     

     Attributes

     protected

     Definition Classes

     H2OMOJOModel

350. val stoppingMetric: NullableStringParam

     

     Attributes

     protected

351. val stoppingRounds: IntParam

     

     Attributes

     protected

352. val stoppingTolerance: DoubleParam

     

     Attributes

     protected

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

     

     Attributes

     protected

     Definition Classes

     ParameterConstructorMethods

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

     

     Attributes

     protected

     Definition Classes

     ParameterConstructorMethods

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

     

     Definition Classes

     AnyRef

356. val targetRatioCommToComp: DoubleParam

     

     Attributes

     protected

357. def toString(): String

     

     Definition Classes

     H2OMOJOModel → Identifiable → AnyRef → Any

358. val trainSamplesPerIteration: LongParam

     

     Attributes

     protected

359. final val trainingMetrics: MapStringDoubleParam

     

     Attributes

     protected

     Definition Classes

     H2OMOJOModel

360. final val trainingMetricsObject: NullableMetricsParam

     

     Attributes

     protected

     Definition Classes

     H2OMOJOModel

361. final val trainingParams: MapStringStringParam

     

     Attributes

     protected

     Definition Classes

     H2OMOJOModel

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

     

     Definition Classes

     H2OAlgorithmMOJOModel → Transformer

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

     

     Definition Classes

     Transformer

     Annotations

     @Since( "2.0.0" )

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

     

     Definition Classes

     Transformer

     Annotations

     @Since( "2.0.0" ) @varargs()

365. def transformSchema(schema: StructType): StructType

     

     Definition Classes

     H2OSupervisedMOJOModel → H2OAlgorithmMOJOModel → PipelineStage

     Annotations

     @DeveloperApi()

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

     

     Attributes

     protected

     Definition Classes

     PipelineStage

     Annotations

     @DeveloperApi()

367. val tweediePower: DoubleParam

     

     Attributes

     protected

368. val uid: String

     

     Definition Classes

     H2ODeepLearningMOJOModel → H2OSupervisedMOJOModel → H2OAlgorithmMOJOModel → Identifiable

369. 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

370. val useAllFactorLevels: BooleanParam

     

     Attributes

     protected

371. final val validationMetrics: MapStringDoubleParam

     

     Attributes

     protected

     Definition Classes

     H2OMOJOModel

372. final val validationMetricsObject: NullableMetricsParam

     

     Attributes

     protected

     Definition Classes

     H2OMOJOModel

373. final def wait(): Unit

     

     Definition Classes

     AnyRef

     Annotations

     @throws( ... )

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

     

     Definition Classes

     AnyRef

     Annotations

     @throws( ... )

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

     

     Definition Classes

     AnyRef

     Annotations

     @throws( ... )

376. val weightCol: NullableStringParam

     

     Attributes

     protected

377. final val withContributions: BooleanParam

     

     Attributes

     protected

     Definition Classes

     H2OAlgorithmMOJOParams

378. final val withLeafNodeAssignments: BooleanParam

     

     Attributes

     protected

     Definition Classes

     H2OAlgorithmMOJOParams

379. final val withStageResults: BooleanParam

     

     Attributes

     protected

     Definition Classes

     H2OAlgorithmMOJOParams

380. def write: MLWriter

     

     Definition Classes

     H2OMOJOWritable → MLWritable