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

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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. val gainsliftBins: IntParam

    

    Attributes

    protected

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

    

    Definition Classes

    Params

86. def getActivation(): String

    

87. def getAdaptiveRate(): Boolean

    

88. def getAnomalyPredictionColSchema(): Seq[StructField]

    

    Definition Classes

    H2OMOJOPredictionAnomaly

89. def getAnomalyPredictionSchema(): StructType

    

    Definition Classes

    H2OMOJOPredictionAnomaly

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

    

    Definition Classes

    H2OMOJOPredictionAnomaly

91. def getAucType(): String

    

92. def getAverageActivation(): Double

    

93. def getBalanceClasses(): Boolean

    

94. def getBinomialPredictionColSchema(): Seq[StructField]

    

    Definition Classes

    H2OMOJOPredictionBinomial

95. def getBinomialPredictionSchema(): StructType

    

    Definition Classes

    H2OMOJOPredictionBinomial

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

    

    Definition Classes

    H2OMOJOPredictionBinomial

97. def getCalculateFeatureImportances(): Boolean

    

98. def getCategoricalEncoding(): String

    

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

    

    Definition Classes

    AnyRef → Any

100. def getClassSamplingFactors(): Array[Float]

     

101. def getClassificationStop(): Double

     

102. def getClusteringPredictionColSchema(): Seq[StructField]

     

     Definition Classes

     H2OMOJOPredictionClustering

103. def getClusteringPredictionSchema(): StructType

     

     Definition Classes

     H2OMOJOPredictionClustering

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

     

     Definition Classes

     H2OMOJOPredictionClustering

105. def getCoefficients(): DataFrame

     

     Definition Classes

     H2OMOJOModel

106. def getContributionsSchema(model: EasyPredictModelWrapper): DataType

     

     Attributes

     protected

     Definition Classes

     PredictionWithContributions

107. def getConvertInvalidNumbersToNa(): Boolean

     

     Definition Classes

     H2OBaseMOJOParams

108. def getConvertUnknownCategoricalLevelsToNa(): Boolean

     

     Definition Classes

     H2OBaseMOJOParams

109. def getCoxPHPredictionColSchema(): Seq[StructField]

     

     Definition Classes

     H2OMOJOPredictionCoxPH

110. def getCoxPHPredictionSchema(): StructType

     

     Definition Classes

     H2OMOJOPredictionCoxPH

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

     

     Definition Classes

     H2OMOJOPredictionCoxPH

112. 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

113. 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

114. 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

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

     

     Definition Classes

     H2OMOJOModel

116. def getCrossValidationModelsScoringHistory(): Array[DataFrame]

     

     Definition Classes

     H2OMOJOModel

117. 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

118. 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

119. def getCustomMetricFunc(): String

     

120. def getDataFrameSerializer(): String

     

     Definition Classes

     HasDataFrameSerializer

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

     

     Definition Classes

     Params

122. def getDefaultThreshold(): Double

     

     Definition Classes

     H2OMOJOModel

123. def getDetailedPredictionCol(): String

     

     Definition Classes

     H2OAlgorithmMOJOParams

124. def getDetailedPredictionColSchema(): Seq[StructField]

     

     Definition Classes

     H2OMOJOPrediction

125. def getDiagnostics(): Boolean

     

126. def getDimReductionPredictionColSchema(): Seq[StructField]

     

     Definition Classes

     H2OMOJOPredictionDimReduction

127. def getDimReductionPredictionSchema(): StructType

     

     Definition Classes

     H2OMOJOPredictionDimReduction

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

     

     Definition Classes

     H2OMOJOPredictionDimReduction

129. def getDistribution(): String

     

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

     

     Definition Classes

     H2OMOJOModel

131. def getElasticAveraging(): Boolean

     

132. def getElasticAveragingMovingRate(): Double

     

133. def getElasticAveragingRegularization(): Double

     

134. def getEndTime(): Long

     

     Definition Classes

     H2OMOJOModel

135. def getEpochs(): Double

     

136. def getEpsilon(): Double

     

137. def getExportCheckpointsDir(): String

     

138. def getExportWeightsAndBiases(): Boolean

     

139. def getFastMode(): Boolean

     

140. def getFeatureImportances(): DataFrame

     

     Definition Classes

     H2OMOJOModel

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

     

     Definition Classes

     HasFeatureTypesOnMOJO

142. def getFeaturesCols(): Array[String]

     

     Definition Classes

     H2OAlgorithmMOJOParams

143. def getFoldAssignment(): String

     

144. def getFoldCol(): String

     

145. def getForceLoadBalance(): Boolean

     

146. def getGainsliftBins(): Int

     

147. def getHidden(): Array[Int]

     

148. def getHiddenDropoutRatios(): Array[Double]

     

149. def getHuberAlpha(): Double

     

150. def getIgnoreConstCols(): Boolean

     

151. def getIgnoredCols(): Array[String]

     

     Definition Classes

     HasIgnoredColsOnMOJO

152. def getInitialWeightDistribution(): String

     

153. def getInitialWeightScale(): Double

     

154. def getInputDropoutRatio(): Double

     

155. def getKeepCrossValidationFoldAssignment(): Boolean

     

156. def getKeepCrossValidationModels(): Boolean

     

157. def getKeepCrossValidationPredictions(): Boolean

     

158. def getL1(): Double

     

159. def getL2(): Double

     

160. def getLabelCol(): String

     

161. def getLoss(): String

     

162. def getMaxAfterBalanceSize(): Float

     

163. def getMaxCategoricalFeatures(): Int

     

164. def getMaxRuntimeSecs(): Double

     

165. def getMaxW2(): Float

     

166. def getMiniBatchSize(): Int

     

167. def getMissingValuesHandling(): String

     

168. def getModelCategory(): String

     

     Definition Classes

     H2OMOJOModel

169. def getModelDetails(): String

     

     Definition Classes

     H2OMOJOModel

170. def getModelDetails(modelJson: JsonObject): String

     

     Attributes

     protected

     Definition Classes

     H2OMOJOModelUtils

171. def getModelJson(mojo: File): JsonObject

     

     Attributes

     protected

     Definition Classes

     H2OMOJOModelUtils

172. def getModelSummary(): DataFrame

     

     Definition Classes

     H2OMOJOModel

173. def getMomentumRamp(): Double

     

174. def getMomentumStable(): Double

     

175. def getMomentumStart(): Double

     

176. def getMultinomialPredictionColSchema(): Seq[StructField]

     

     Definition Classes

     H2OMOJOPredictionMultinomial

177. def getMultinomialPredictionSchema(): StructType

     

     Definition Classes

     H2OMOJOPredictionMultinomial

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

     

     Definition Classes

     H2OMOJOPredictionMultinomial

179. def getNesterovAcceleratedGradient(): Boolean

     

180. def getNfolds(): Int

     

181. def getOffsetCol(): String

     

     Definition Classes

     H2OSupervisedMOJOParams

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

     

     Definition Classes

     Params

183. def getOrdinalPredictionColSchema(): Seq[StructField]

     

     Definition Classes

     H2OMOJOPredictionOrdinal

184. def getOrdinalPredictionSchema(): StructType

     

     Definition Classes

     H2OMOJOPredictionOrdinal

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

     

     Definition Classes

     H2OMOJOPredictionOrdinal

186. def getOverwriteWithBestModel(): Boolean

     

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

     

     Definition Classes

     Params

188. def getPredictionCol(): String

     

     Definition Classes

     H2OAlgorithmMOJOParams

189. def getPredictionColSchema(): Seq[StructField]

     

     Definition Classes

     H2OMOJOPrediction

190. def getPredictionSchema(): StructType

     

     Definition Classes

     H2OMOJOPrediction

191. def getPredictionUDF(): UserDefinedFunction

     

     Definition Classes

     H2OMOJOPrediction

192. def getQuantileAlpha(): Double

     

193. def getQuietMode(): Boolean

     

194. def getRate(): Double

     

195. def getRateAnnealing(): Double

     

196. def getRateDecay(): Double

     

197. def getRegressionPredictionColSchema(): Seq[StructField]

     

     Definition Classes

     H2OMOJOPredictionRegression

198. def getRegressionPredictionSchema(): StructType

     

     Definition Classes

     H2OMOJOPredictionRegression

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

     

     Definition Classes

     H2OMOJOPredictionRegression

200. def getRegressionStop(): Double

     

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

     

     Attributes

     protected

     Definition Classes

     H2OMOJOFlattenedInput

202. def getReplicateTrainingData(): Boolean

     

203. def getReproducible(): Boolean

     

204. def getRho(): Double

     

205. def getRunTime(): Long

     

     Definition Classes

     H2OMOJOModel

206. def getScoreDutyCycle(): Double

     

207. def getScoreEachIteration(): Boolean

     

208. def getScoreInterval(): Double

     

209. def getScoreTrainingSamples(): Long

     

210. def getScoreValidationSamples(): Long

     

211. def getScoreValidationSampling(): String

     

212. def getScoringHistory(): DataFrame

     

     Definition Classes

     H2OMOJOModel

213. def getSeed(): Long

     

214. def getShuffleTrainingData(): Boolean

     

215. def getSingleNodeMode(): Boolean

     

216. def getSparse(): Boolean

     

217. def getSparsityBeta(): Double

     

218. def getStageProbabilitiesSchema(model: EasyPredictModelWrapper): DataType

     

     Attributes

     protected

     Definition Classes

     PredictionWithStageProbabilities

219. def getStandardize(): Boolean

     

220. def getStartTime(): Long

     

     Definition Classes

     H2OMOJOModel

221. def getStoppingMetric(): String

     

222. def getStoppingRounds(): Int

     

223. def getStoppingTolerance(): Double

     

224. def getTargetRatioCommToComp(): Double

     

225. def getTrainSamplesPerIteration(): Long

     

226. 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

227. 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

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

     

     Definition Classes

     H2OMOJOModel

229. def getTweediePower(): Double

     

230. def getUseAllFactorLevels(): Boolean

     

231. 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

232. 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

233. def getWeightCol(): String

     

234. def getWithContributions(): Boolean

     

     Definition Classes

     H2OAlgorithmMOJOParams

235. def getWithLeafNodeAssignments(): Boolean

     

     Definition Classes

     H2OAlgorithmMOJOParams

236. def getWithStageResults(): Boolean

     

     Definition Classes

     H2OAlgorithmMOJOParams

237. def getWordEmbeddingPredictionColSchema(): Seq[StructField]

     

     Definition Classes

     H2OMOJOPredictionWordEmbedding

238. def getWordEmbeddingPredictionSchema(): StructType

     

     Definition Classes

     H2OMOJOPredictionWordEmbedding

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

     

     Definition Classes

     H2OMOJOPredictionWordEmbedding

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

     

     Definition Classes

     Params

241. def hasParam(paramName: String): Boolean

     

     Definition Classes

     Params

242. def hasParent: Boolean

     

     Definition Classes

     Model

243. def hashCode(): Int

     

     Definition Classes

     AnyRef → Any

244. val hidden: IntArrayParam

     

     Attributes

     protected

245. val hiddenDropoutRatios: NullableDoubleArrayParam

     

     Attributes

     protected

246. val huberAlpha: DoubleParam

     

     Attributes

     protected

247. val ignoreConstCols: BooleanParam

     

     Attributes

     protected

248. val initialWeightDistribution: NullableStringParam

     

     Attributes

     protected

249. val initialWeightScale: DoubleParam

     

     Attributes

     protected

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

     

     Attributes

     protected

     Definition Classes

     Logging

251. def initializeLogIfNecessary(isInterpreter: Boolean): Unit

     

     Attributes

     protected

     Definition Classes

     Logging

252. def inputColumnNames: Array[String]

     

     Attributes

     protected

     Definition Classes

     H2OAlgorithmMOJOModel → H2OMOJOFlattenedInput

253. val inputDropoutRatio: DoubleParam

     

     Attributes

     protected

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

     

     Attributes

     protected

     Definition Classes

     ParameterConstructorMethods

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

     

     Attributes

     protected

     Definition Classes

     ParameterConstructorMethods

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

     

     Definition Classes

     Params

257. final def isInstanceOf[T0]: Boolean

     

     Definition Classes

     Any

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

     

     Definition Classes

     Params

259. def isTraceEnabled(): Boolean

     

     Attributes

     protected

     Definition Classes

     Logging

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

     

     Attributes

     protected

     Definition Classes

     H2OMOJOModelUtils

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

     

     Attributes

     protected

     Definition Classes

     H2OMOJOModelUtils

262. val keepCrossValidationFoldAssignment: BooleanParam

     

     Attributes

     protected

263. val keepCrossValidationModels: BooleanParam

     

     Attributes

     protected

264. val keepCrossValidationPredictions: BooleanParam

     

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265. val l1: DoubleParam

     

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266. val l2: DoubleParam

     

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267. val labelCol: Param[String]

     

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268. def log: Logger

     

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     Definition Classes

     Logging

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

     

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     protected

     Definition Classes

     Logging

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

     

     Attributes

     protected

     Definition Classes

     Logging

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

     

     Attributes

     protected

     Definition Classes

     Logging

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

     

     Attributes

     protected

     Definition Classes

     Logging

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

     

     Attributes

     protected

     Definition Classes

     Logging

274. def logInfo(msg: ⇒ String): Unit

     

     Attributes

     protected

     Definition Classes

     Logging

275. def logName: String

     

     Attributes

     protected

     Definition Classes

     Logging

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

     

     Attributes

     protected

     Definition Classes

     Logging

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

     

     Attributes

     protected

     Definition Classes

     Logging

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

     

     Attributes

     protected

     Definition Classes

     Logging

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

     

     Attributes

     protected

     Definition Classes

     Logging

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

     

     Attributes

     protected

     Definition Classes

     ParameterConstructorMethods

281. val loss: NullableStringParam

     

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     protected

282. val maxAfterBalanceSize: FloatParam

     

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     protected

283. val maxCategoricalFeatures: IntParam

     

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     protected

284. val maxRuntimeSecs: DoubleParam

     

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     protected

285. val maxW2: FloatParam

     

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     protected

286. val miniBatchSize: IntParam

     

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287. val missingValuesHandling: NullableStringParam

     

     Attributes

     protected

288. final val modelCategory: NullableStringParam

     

     Attributes

     protected

     Definition Classes

     H2OMOJOModel

289. final val modelDetails: NullableStringParam

     

     Attributes

     protected

     Definition Classes

     H2OMOJOModel

290. final val modelSummary: NullableDataFrameParam

     

     Attributes

     protected

     Definition Classes

     H2OMOJOModel

291. val momentumRamp: DoubleParam

     

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292. val momentumStable: DoubleParam

     

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293. val momentumStart: DoubleParam

     

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

     

     Definition Classes

     AnyRef

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

     

     Attributes

     protected

     Definition Classes

     H2OMOJOModelUtils

296. val nesterovAcceleratedGradient: BooleanParam

     

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297. val nfolds: IntParam

     

     Attributes

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298. val nonSerializableField: AnyRef

     

     Definition Classes

     H2OMOJOModel

299. final def notify(): Unit

     

     Definition Classes

     AnyRef

300. final def notifyAll(): Unit

     

     Definition Classes

     AnyRef

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

     

     Attributes

     protected

     Definition Classes

     ParameterConstructorMethods

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

     

     Attributes

     protected

     Definition Classes

     H2OMOJOModel

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

     

     Attributes

     protected

     Definition Classes

     ParameterConstructorMethods

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

     

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     protected

     Definition Classes

     ParameterConstructorMethods

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

     

     Attributes

     protected

     Definition Classes

     ParameterConstructorMethods

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

     

     Attributes

     protected

     Definition Classes

     ParameterConstructorMethods

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

     

     Attributes

     protected

     Definition Classes

     ParameterConstructorMethods

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

     

     Attributes

     protected

     Definition Classes

     ParameterConstructorMethods

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

     

     Attributes

     protected

     Definition Classes

     ParameterConstructorMethods

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

     

     Attributes

     protected

     Definition Classes

     ParameterConstructorMethods

311. def outputColumnName: String

     

     Attributes

     protected

     Definition Classes

     H2OAlgorithmMOJOModel → H2OMOJOFlattenedInput

312. val overwriteWithBestModel: BooleanParam

     

     Attributes

     protected

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

     

     Attributes

     protected

     Definition Classes

     ParameterConstructorMethods

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

     

     Definition Classes

     Params

315. var parent: Estimator[H2OMOJOModel]

     

     Definition Classes

     Model

316. final val predictionCol: Param[String]

     

     Attributes

     protected

     Definition Classes

     H2OAlgorithmMOJOParams

317. val quantileAlpha: DoubleParam

     

     Attributes

     protected

318. val quietMode: BooleanParam

     

     Attributes

     protected

319. val rate: DoubleParam

     

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     protected

320. val rateAnnealing: DoubleParam

     

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321. val rateDecay: DoubleParam

     

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     protected

322. val regressionStop: DoubleParam

     

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     protected

323. val replicateTrainingData: BooleanParam

     

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324. val reproducible: BooleanParam

     

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325. val rho: DoubleParam

     

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326. final val runTime: LongParam

     

     Attributes

     protected

     Definition Classes

     H2OMOJOModel

327. def save(path: String): Unit

     

     Definition Classes

     MLWritable

     Annotations

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

328. val scoreDutyCycle: DoubleParam

     

     Attributes

     protected

329. val scoreEachIteration: BooleanParam

     

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330. val scoreInterval: DoubleParam

     

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     protected

331. val scoreTrainingSamples: LongParam

     

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     protected

332. val scoreValidationSamples: LongParam

     

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     protected

333. val scoreValidationSampling: NullableStringParam

     

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     protected

334. final val scoringHistory: NullableDataFrameParam

     

     Attributes

     protected

     Definition Classes

     H2OMOJOModel

335. val seed: LongParam

     

     Attributes

     protected

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

     

     Attributes

     protected

     Definition Classes

     Params

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

     

     Attributes

     protected

     Definition Classes

     Params

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

     

     Definition Classes

     Params

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

     

     Definition Classes

     H2OBaseMOJOParams

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

     

     Attributes

     protected

     Definition Classes

     Params

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

     

     Attributes

     protected

     Definition Classes

     Params

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

     

     Definition Classes

     HasMojo

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

     

     Definition Classes

     HasMojo

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

     

     Definition Classes

     HasMojo

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

     

     Definition Classes

     Model

346. val shuffleTrainingData: BooleanParam

     

     Attributes

     protected

347. val singleNodeMode: BooleanParam

     

     Attributes

     protected

348. val sparse: BooleanParam

     

     Attributes

     protected

349. val sparsityBeta: DoubleParam

     

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350. val standardize: BooleanParam

     

     Attributes

     protected

351. final val startTime: LongParam

     

     Attributes

     protected

     Definition Classes

     H2OMOJOModel

352. val stoppingMetric: NullableStringParam

     

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     protected

353. val stoppingRounds: IntParam

     

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     protected

354. val stoppingTolerance: DoubleParam

     

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     protected

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

     

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     protected

     Definition Classes

     ParameterConstructorMethods

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

     

     Attributes

     protected

     Definition Classes

     ParameterConstructorMethods

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

     

     Definition Classes

     AnyRef

358. val targetRatioCommToComp: DoubleParam

     

     Attributes

     protected

359. def toString(): String

     

     Definition Classes

     H2OMOJOModel → Identifiable → AnyRef → Any

360. val trainSamplesPerIteration: LongParam

     

     Attributes

     protected

361. final val trainingMetrics: MapStringDoubleParam

     

     Attributes

     protected

     Definition Classes

     H2OMOJOModel

362. final val trainingMetricsObject: NullableMetricsParam

     

     Attributes

     protected

     Definition Classes

     H2OMOJOModel

363. final val trainingParams: MapStringStringParam

     

     Attributes

     protected

     Definition Classes

     H2OMOJOModel

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

     

     Definition Classes

     H2OAlgorithmMOJOModel → Transformer

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

     

     Definition Classes

     Transformer

     Annotations

     @Since( "2.0.0" )

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

     

     Definition Classes

     Transformer

     Annotations

     @Since( "2.0.0" ) @varargs()

367. def transformSchema(schema: StructType): StructType

     

     Definition Classes

     H2OSupervisedMOJOModel → H2OAlgorithmMOJOModel → PipelineStage

     Annotations

     @DeveloperApi()

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

     

     Attributes

     protected

     Definition Classes

     PipelineStage

     Annotations

     @DeveloperApi()

369. val tweediePower: DoubleParam

     

     Attributes

     protected

370. val uid: String

     

     Definition Classes

     H2ODeepLearningMOJOModel → H2OSupervisedMOJOModel → H2OAlgorithmMOJOModel → Identifiable

371. 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

372. val useAllFactorLevels: BooleanParam

     

     Attributes

     protected

373. final val validationMetrics: MapStringDoubleParam

     

     Attributes

     protected

     Definition Classes

     H2OMOJOModel

374. final val validationMetricsObject: NullableMetricsParam

     

     Attributes

     protected

     Definition Classes

     H2OMOJOModel

375. final def wait(): Unit

     

     Definition Classes

     AnyRef

     Annotations

     @throws( ... )

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

     

     Definition Classes

     AnyRef

     Annotations

     @throws( ... )

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

     

     Definition Classes

     AnyRef

     Annotations

     @throws( ... )

378. val weightCol: NullableStringParam

     

     Attributes

     protected

379. final val withContributions: BooleanParam

     

     Attributes

     protected

     Definition Classes

     H2OAlgorithmMOJOParams

380. final val withLeafNodeAssignments: BooleanParam

     

     Attributes

     protected

     Definition Classes

     H2OAlgorithmMOJOParams

381. final val withStageResults: BooleanParam

     

     Attributes

     protected

     Definition Classes

     H2OAlgorithmMOJOParams

382. def write: MLWriter

     

     Definition Classes

     H2OMOJOWritable → MLWritable