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 convertInvalidNumbersToNa: BooleanParam

    

    Attributes

    protected

    Definition Classes

    H2OBaseMOJOParams

21. final val convertUnknownCategoricalLevelsToNa: BooleanParam

    

    Attributes

    protected

    Definition Classes

    H2OBaseMOJOParams

22. def copy(extra: ParamMap): H2OMOJOModel

    

    Definition Classes

    H2OMOJOModel → Model → Transformer → PipelineStage → Params

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

    

    Attributes

    protected

    Definition Classes

    Params

24. final val crossValidationMetrics: MapStringDoubleParam

    

    Attributes

    protected

    Definition Classes

    H2OMOJOModel

25. final val crossValidationMetricsObject: NullableMetricsParam

    

    Attributes

    protected

    Definition Classes

    H2OMOJOModel

26. final val crossValidationMetricsSummary: NullableDataFrameParam

    

    Attributes

    protected

    Definition Classes

    H2OMOJOModel

27. var crossValidationModels: Array[H2OMOJOModel]

    

    Attributes

    protected

    Definition Classes

    H2OMOJOModel

28. var crossValidationModelsScoringHistory: NullableDataFrameArrayParam

    

    Attributes

    protected

    Definition Classes

    H2OMOJOModel

29. final val dataFrameSerializer: Param[String]

    

    Attributes

    protected

    Definition Classes

    HasDataFrameSerializer

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

    

    Attributes

    protected

    Definition Classes

    Params

31. final val defaultThreshold: DoubleParam

    

    Attributes

    protected

    Definition Classes

    H2OMOJOModel

32. final val detailedPredictionCol: Param[String]

    

    Attributes

    protected

    Definition Classes

    H2OAlgorithmMOJOParams

33. val diagnostics: BooleanParam

    

    Attributes

    protected

34. val distribution: NullableStringParam

    

    Attributes

    protected

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

    

    Attributes

    protected

    Definition Classes

    ParameterConstructorMethods

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

    

    Attributes

    protected

    Definition Classes

    ParameterConstructorMethods

37. val elasticAveraging: BooleanParam

    

    Attributes

    protected

38. val elasticAveragingMovingRate: DoubleParam

    

    Attributes

    protected

39. val elasticAveragingRegularization: DoubleParam

    

    Attributes

    protected

40. final val endTime: LongParam

    

    Attributes

    protected

    Definition Classes

    H2OMOJOModel

41. val epochs: DoubleParam

    

    Attributes

    protected

42. val epsilon: DoubleParam

    

    Attributes

    protected

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

    

    Definition Classes

    AnyRef

44. def equals(arg0: Any): Boolean

    

    Definition Classes

    AnyRef → Any

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

    

    Definition Classes

    Params

46. def explainParams(): String

    

    Definition Classes

    Params

47. val exportCheckpointsDir: NullableStringParam

    

    Attributes

    protected

48. val exportWeightsAndBiases: BooleanParam

    

    Attributes

    protected

49. def extractAnomalyPredictionColContent(): Column

    

    Definition Classes

    H2OMOJOPredictionAnomaly

50. def extractBinomialPredictionColContent(): Column

    

    Definition Classes

    H2OMOJOPredictionBinomial

51. def extractClusteringPredictionColContent(): Column

    

    Definition Classes

    H2OMOJOPredictionClustering

52. def extractCoxPHPredictionColContent(): Column

    

    Definition Classes

    H2OMOJOPredictionCoxPH

53. def extractCrossValidationMetricsSummary(modelJson: JsonObject): DataFrame

    

    Attributes

    protected

    Definition Classes

    H2OMOJOModelUtils

54. def extractDimReductionSimplePredictionColContent(): Column

    

    Definition Classes

    H2OMOJOPredictionDimReduction

55. def extractFeatureImportances(outputJson: JsonObject): DataFrame

    

    Attributes

    protected

    Definition Classes

    H2OMOJOModelUtils

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

    

    Attributes

    protected

    Definition Classes

    H2OMOJOModelUtils

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

    

    Attributes

    protected

    Definition Classes

    H2OMOJOModelUtils

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

    

    Attributes

    protected

    Definition Classes

    H2OMOJOModelUtils

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

    

    Attributes

    protected

    Definition Classes

    H2OMOJOModelUtils

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

    

    Attributes

    protected

    Definition Classes

    H2OMOJOModelUtils

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

    

    Attributes

    protected

    Definition Classes

    H2OMOJOModelUtils

62. def extractModelSummary(outputJson: JsonObject): DataFrame

    

    Attributes

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

    Definition Classes

    H2OMOJOModelUtils

63. def extractMultinomialPredictionColContent(): Column

    

    Definition Classes

    H2OMOJOPredictionMultinomial

64. def extractOrdinalPredictionColContent(): Column

    

    Definition Classes

    H2OMOJOPredictionOrdinal

65. final def extractParamMap(): ParamMap

    

    Definition Classes

    Params

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

    

    Definition Classes

    Params

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

    

    Attributes

    protected

    Definition Classes

    H2OMOJOModelUtils

68. def extractPredictionColContent(): Column

    

    Definition Classes

    H2OMOJOPrediction

69. def extractRegressionPredictionColContent(): Column

    

    Definition Classes

    H2OMOJOPredictionRegression

70. def extractScoringHistory(outputJson: JsonObject): DataFrame

    

    Attributes

    protected

    Definition Classes

    H2OMOJOModelUtils

71. def extractWordEmbeddingPredictionColContent(): Column

    

    Definition Classes

    H2OMOJOPredictionWordEmbedding

72. val fastMode: BooleanParam

    

    Attributes

    protected

73. final val featureImportances: NullableDataFrameParam

    

    Attributes

    protected

    Definition Classes

    H2OMOJOModel

74. final val featureTypes: MapStringStringParam

    

    Attributes

    protected

    Definition Classes

    HasFeatureTypesOnMOJO

75. final val featuresCols: StringArrayParam

    

    Attributes

    protected

    Definition Classes

    H2OAlgorithmMOJOParams

76. def finalize(): Unit

    

    Attributes

    protected[java.lang]

    Definition Classes

    AnyRef

    Annotations

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

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

    

    Attributes

    protected

    Definition Classes

    ParameterConstructorMethods

78. val foldAssignment: NullableStringParam

    

    Attributes

    protected

79. val foldCol: NullableStringParam

    

    Attributes

    protected

80. val forceLoadBalance: BooleanParam

    

    Attributes

    protected

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

    

    Definition Classes

    Params

82. def getActivation(): String

    

83. def getAdaptiveRate(): Boolean

    

84. def getAnomalyPredictionColSchema(): Seq[StructField]

    

    Definition Classes

    H2OMOJOPredictionAnomaly

85. def getAnomalyPredictionSchema(): StructType

    

    Definition Classes

    H2OMOJOPredictionAnomaly

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

    

    Definition Classes

    H2OMOJOPredictionAnomaly

87. def getAucType(): String

    

88. def getAutoencoder(): Boolean

    

    Definition Classes

    HasDeprecatedAutoencoderOnMOJO

    Annotations

    @DeprecatedMethod( x$2 , x$1 )

89. def getAverageActivation(): Double

    

90. def getBalanceClasses(): Boolean

    

91. def getBinomialPredictionColSchema(): Seq[StructField]

    

    Definition Classes

    H2OMOJOPredictionBinomial

92. def getBinomialPredictionSchema(): StructType

    

    Definition Classes

    H2OMOJOPredictionBinomial

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

    

    Definition Classes

    H2OMOJOPredictionBinomial

94. def getCalculateFeatureImportances(): Boolean

    

    Definition Classes

    H2ODeepLearningMOJOModel → HasDeprecatedVariableImportancesOnMOJO

95. def getCategoricalEncoding(): String

    

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

    

    Definition Classes

    AnyRef → Any

97. def getClassSamplingFactors(): Array[Float]

    

98. def getClassificationStop(): Double

    

99. def getClusteringPredictionColSchema(): Seq[StructField]

    

    Definition Classes

    H2OMOJOPredictionClustering

100. def getClusteringPredictionSchema(): StructType

     

     Definition Classes

     H2OMOJOPredictionClustering

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

     

     Definition Classes

     H2OMOJOPredictionClustering

102. def getContributionsSchema(model: EasyPredictModelWrapper): DataType

     

     Attributes

     protected

     Definition Classes

     PredictionWithContributions

103. def getConvertInvalidNumbersToNa(): Boolean

     

     Definition Classes

     H2OBaseMOJOParams

104. def getConvertUnknownCategoricalLevelsToNa(): Boolean

     

     Definition Classes

     H2OBaseMOJOParams

105. def getCoxPHPredictionColSchema(): Seq[StructField]

     

     Definition Classes

     H2OMOJOPredictionCoxPH

106. def getCoxPHPredictionSchema(): StructType

     

     Definition Classes

     H2OMOJOPredictionCoxPH

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

     

     Definition Classes

     H2OMOJOPredictionCoxPH

108. 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

109. 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

110. 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

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

     

     Definition Classes

     H2OMOJOModel

112. def getCrossValidationModelsScoringHistory(): Array[DataFrame]

     

     Definition Classes

     H2OMOJOModel

113. 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

114. 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

115. def getDataFrameSerializer(): String

     

     Definition Classes

     HasDataFrameSerializer

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

     

     Definition Classes

     Params

117. def getDefaultThreshold(): Double

     

     Definition Classes

     H2OMOJOModel

118. def getDetailedPredictionCol(): String

     

     Definition Classes

     H2OAlgorithmMOJOParams

119. def getDetailedPredictionColSchema(): Seq[StructField]

     

     Definition Classes

     H2OMOJOPrediction

120. def getDiagnostics(): Boolean

     

121. def getDimReductionPredictionColSchema(): Seq[StructField]

     

     Definition Classes

     H2OMOJOPredictionDimReduction

122. def getDimReductionPredictionSchema(): StructType

     

     Definition Classes

     H2OMOJOPredictionDimReduction

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

     

     Definition Classes

     H2OMOJOPredictionDimReduction

124. def getDistribution(): String

     

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

     

     Definition Classes

     H2OMOJOModel

126. def getElasticAveraging(): Boolean

     

127. def getElasticAveragingMovingRate(): Double

     

128. def getElasticAveragingRegularization(): Double

     

129. def getEndTime(): Long

     

     Definition Classes

     H2OMOJOModel

130. def getEpochs(): Double

     

131. def getEpsilon(): Double

     

132. def getExportCheckpointsDir(): String

     

133. def getExportWeightsAndBiases(): Boolean

     

134. def getFastMode(): Boolean

     

135. def getFeatureImportances(): DataFrame

     

     Definition Classes

     H2OMOJOModel

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

     

     Definition Classes

     HasFeatureTypesOnMOJO

137. def getFeaturesCols(): Array[String]

     

     Definition Classes

     H2OAlgorithmMOJOParams

138. def getFoldAssignment(): String

     

139. def getFoldCol(): String

     

140. def getForceLoadBalance(): Boolean

     

141. def getHidden(): Array[Int]

     

142. def getHiddenDropoutRatios(): Array[Double]

     

143. def getHuberAlpha(): Double

     

144. def getIgnoreConstCols(): Boolean

     

145. def getIgnoredCols(): Array[String]

     

     Definition Classes

     HasIgnoredColsOnMOJO

146. def getInitialWeightDistribution(): String

     

147. def getInitialWeightScale(): Double

     

148. def getInputDropoutRatio(): Double

     

149. def getKeepCrossValidationFoldAssignment(): Boolean

     

150. def getKeepCrossValidationModels(): Boolean

     

151. def getKeepCrossValidationPredictions(): Boolean

     

152. def getL1(): Double

     

153. def getL2(): Double

     

154. def getLabelCol(): String

     

155. def getLoss(): String

     

156. def getMaxAfterBalanceSize(): Float

     

157. def getMaxCategoricalFeatures(): Int

     

158. def getMaxRuntimeSecs(): Double

     

159. def getMaxW2(): Float

     

160. def getMiniBatchSize(): Int

     

161. def getMissingValuesHandling(): String

     

162. def getModelCategory(): String

     

     Definition Classes

     H2OMOJOModel

163. def getModelDetails(): String

     

     Definition Classes

     H2OMOJOModel

164. def getModelDetails(modelJson: JsonObject): String

     

     Attributes

     protected

     Definition Classes

     H2OMOJOModelUtils

165. def getModelJson(mojo: File): JsonObject

     

     Attributes

     protected

     Definition Classes

     H2OMOJOModelUtils

166. def getModelSummary(): DataFrame

     

     Definition Classes

     H2OMOJOModel

167. def getMomentumRamp(): Double

     

168. def getMomentumStable(): Double

     

169. def getMomentumStart(): Double

     

170. def getMultinomialPredictionColSchema(): Seq[StructField]

     

     Definition Classes

     H2OMOJOPredictionMultinomial

171. def getMultinomialPredictionSchema(): StructType

     

     Definition Classes

     H2OMOJOPredictionMultinomial

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

     

     Definition Classes

     H2OMOJOPredictionMultinomial

173. def getNamedMojoOutputColumns(): Boolean

     

     Definition Classes

     H2OAlgorithmMOJOParams

     Annotations

     @DeprecatedMethod( x$2 , x$1 )

174. def getNesterovAcceleratedGradient(): Boolean

     

175. def getNfolds(): Int

     

176. def getOffsetCol(): String

     

     Definition Classes

     H2OSupervisedMOJOParams

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

     

     Definition Classes

     Params

178. def getOrdinalPredictionColSchema(): Seq[StructField]

     

     Definition Classes

     H2OMOJOPredictionOrdinal

179. def getOrdinalPredictionSchema(): StructType

     

     Definition Classes

     H2OMOJOPredictionOrdinal

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

     

     Definition Classes

     H2OMOJOPredictionOrdinal

181. def getOverwriteWithBestModel(): Boolean

     

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

     

     Definition Classes

     Params

183. def getPredictionCol(): String

     

     Definition Classes

     H2OAlgorithmMOJOParams

184. def getPredictionColSchema(): Seq[StructField]

     

     Definition Classes

     H2OMOJOPrediction

185. def getPredictionSchema(): StructType

     

     Definition Classes

     H2OMOJOPrediction

186. def getPredictionUDF(): UserDefinedFunction

     

     Definition Classes

     H2OMOJOPrediction

187. def getQuantileAlpha(): Double

     

188. def getQuietMode(): Boolean

     

189. def getRate(): Double

     

190. def getRateAnnealing(): Double

     

191. def getRateDecay(): Double

     

192. def getRegressionPredictionColSchema(): Seq[StructField]

     

     Definition Classes

     H2OMOJOPredictionRegression

193. def getRegressionPredictionSchema(): StructType

     

     Definition Classes

     H2OMOJOPredictionRegression

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

     

     Definition Classes

     H2OMOJOPredictionRegression

195. def getRegressionStop(): Double

     

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

     

     Attributes

     protected

     Definition Classes

     H2OMOJOFlattenedInput

197. def getReplicateTrainingData(): Boolean

     

198. def getReproducible(): Boolean

     

199. def getRho(): Double

     

200. def getRunTime(): Long

     

     Definition Classes

     H2OMOJOModel

201. def getScoreDutyCycle(): Double

     

202. def getScoreEachIteration(): Boolean

     

203. def getScoreInterval(): Double

     

204. def getScoreTrainingSamples(): Long

     

205. def getScoreValidationSamples(): Long

     

206. def getScoreValidationSampling(): String

     

207. def getScoringHistory(): DataFrame

     

     Definition Classes

     H2OMOJOModel

208. def getSeed(): Long

     

209. def getShuffleTrainingData(): Boolean

     

210. def getSingleNodeMode(): Boolean

     

211. def getSparse(): Boolean

     

212. def getSparsityBeta(): Double

     

213. def getStageProbabilitiesSchema(model: EasyPredictModelWrapper): DataType

     

     Attributes

     protected

     Definition Classes

     PredictionWithStageProbabilities

214. def getStandardize(): Boolean

     

215. def getStartTime(): Long

     

     Definition Classes

     H2OMOJOModel

216. def getStoppingMetric(): String

     

217. def getStoppingRounds(): Int

     

218. def getStoppingTolerance(): Double

     

219. def getTargetRatioCommToComp(): Double

     

220. def getTrainSamplesPerIteration(): Long

     

221. 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

222. 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

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

     

     Definition Classes

     H2OMOJOModel

224. def getTweediePower(): Double

     

225. def getUseAllFactorLevels(): Boolean

     

226. 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

227. 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

228. def getVariableImportances(): Boolean

     

     Definition Classes

     HasDeprecatedVariableImportancesOnMOJO

     Annotations

     @DeprecatedMethod( "getCalculateFeatureImportances" , "3.38" )

229. def getWeightCol(): String

     

230. def getWithContributions(): Boolean

     

     Definition Classes

     H2OAlgorithmMOJOParams

231. def getWithLeafNodeAssignments(): Boolean

     

     Definition Classes

     H2OAlgorithmMOJOParams

232. def getWithStageResults(): Boolean

     

     Definition Classes

     H2OAlgorithmMOJOParams

233. def getWordEmbeddingPredictionColSchema(): Seq[StructField]

     

     Definition Classes

     H2OMOJOPredictionWordEmbedding

234. def getWordEmbeddingPredictionSchema(): StructType

     

     Definition Classes

     H2OMOJOPredictionWordEmbedding

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

     

     Definition Classes

     H2OMOJOPredictionWordEmbedding

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

     

     Definition Classes

     Params

237. def hasParam(paramName: String): Boolean

     

     Definition Classes

     Params

238. def hasParent: Boolean

     

     Definition Classes

     Model

239. def hashCode(): Int

     

     Definition Classes

     AnyRef → Any

240. val hidden: IntArrayParam

     

     Attributes

     protected

241. val hiddenDropoutRatios: NullableDoubleArrayParam

     

     Attributes

     protected

242. val huberAlpha: DoubleParam

     

     Attributes

     protected

243. val ignoreConstCols: BooleanParam

     

     Attributes

     protected

244. val initialWeightDistribution: NullableStringParam

     

     Attributes

     protected

245. val initialWeightScale: DoubleParam

     

     Attributes

     protected

246. def initializeLogIfNecessary(isInterpreter: Boolean): Unit

     

     Attributes

     protected

     Definition Classes

     Logging

247. def inputColumnNames: Array[String]

     

     Attributes

     protected

     Definition Classes

     H2OAlgorithmMOJOModel → H2OMOJOFlattenedInput

248. val inputDropoutRatio: DoubleParam

     

     Attributes

     protected

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

     

     Attributes

     protected

     Definition Classes

     ParameterConstructorMethods

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

     

     Attributes

     protected

     Definition Classes

     ParameterConstructorMethods

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

     

     Definition Classes

     Params

252. final def isInstanceOf[T0]: Boolean

     

     Definition Classes

     Any

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

     

     Definition Classes

     Params

254. def isTraceEnabled(): Boolean

     

     Attributes

     protected

     Definition Classes

     Logging

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

     

     Attributes

     protected

     Definition Classes

     H2OMOJOModelUtils

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

     

     Attributes

     protected

     Definition Classes

     H2OMOJOModelUtils

257. val keepCrossValidationFoldAssignment: BooleanParam

     

     Attributes

     protected

258. val keepCrossValidationModels: BooleanParam

     

     Attributes

     protected

259. val keepCrossValidationPredictions: BooleanParam

     

     Attributes

     protected

260. val l1: DoubleParam

     

     Attributes

     protected

261. val l2: DoubleParam

     

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262. val labelCol: Param[String]

     

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263. def log: Logger

     

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     Definition Classes

     Logging

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

     

     Attributes

     protected

     Definition Classes

     Logging

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

     

     Attributes

     protected

     Definition Classes

     Logging

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

     

     Attributes

     protected

     Definition Classes

     Logging

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

     

     Attributes

     protected

     Definition Classes

     Logging

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

     

     Attributes

     protected

     Definition Classes

     Logging

269. def logInfo(msg: ⇒ String): Unit

     

     Attributes

     protected

     Definition Classes

     Logging

270. def logName: String

     

     Attributes

     protected

     Definition Classes

     Logging

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

     

     Attributes

     protected

     Definition Classes

     Logging

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

     

     Attributes

     protected

     Definition Classes

     Logging

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

     

     Attributes

     protected

     Definition Classes

     Logging

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

     

     Attributes

     protected

     Definition Classes

     Logging

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

     

     Attributes

     protected

     Definition Classes

     ParameterConstructorMethods

276. val loss: NullableStringParam

     

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     protected

277. val maxAfterBalanceSize: FloatParam

     

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     protected

278. val maxCategoricalFeatures: IntParam

     

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279. val maxRuntimeSecs: DoubleParam

     

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280. val maxW2: FloatParam

     

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     protected

281. val miniBatchSize: IntParam

     

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     protected

282. val missingValuesHandling: NullableStringParam

     

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     protected

283. final val modelCategory: NullableStringParam

     

     Attributes

     protected

     Definition Classes

     H2OMOJOModel

284. final val modelDetails: NullableStringParam

     

     Attributes

     protected

     Definition Classes

     H2OMOJOModel

285. final val modelSummary: NullableDataFrameParam

     

     Attributes

     protected

     Definition Classes

     H2OMOJOModel

286. val momentumRamp: DoubleParam

     

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287. val momentumStable: DoubleParam

     

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288. val momentumStart: DoubleParam

     

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289. final val namedMojoOutputColumns: Param[Boolean]

     

     Attributes

     protected

     Definition Classes

     H2OAlgorithmMOJOParams

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

     

     Definition Classes

     AnyRef

291. val nesterovAcceleratedGradient: BooleanParam

     

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     protected

292. val nfolds: IntParam

     

     Attributes

     protected

293. val nonSerializableField: AnyRef

     

     Definition Classes

     H2OMOJOModel

294. final def notify(): Unit

     

     Definition Classes

     AnyRef

295. final def notifyAll(): Unit

     

     Definition Classes

     AnyRef

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

     

     Attributes

     protected

     Definition Classes

     H2OMOJOModel

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

     

     Attributes

     protected

     Definition Classes

     ParameterConstructorMethods

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

     

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     Definition Classes

     ParameterConstructorMethods

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

     

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     protected

     Definition Classes

     ParameterConstructorMethods

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

     

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     protected

     Definition Classes

     ParameterConstructorMethods

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

     

     Attributes

     protected

     Definition Classes

     ParameterConstructorMethods

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

     

     Attributes

     protected

     Definition Classes

     ParameterConstructorMethods

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

     

     Attributes

     protected

     Definition Classes

     ParameterConstructorMethods

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

     

     Attributes

     protected

     Definition Classes

     ParameterConstructorMethods

305. def outputColumnName: String

     

     Attributes

     protected

     Definition Classes

     H2OAlgorithmMOJOModel → H2OMOJOFlattenedInput

306. val overwriteWithBestModel: BooleanParam

     

     Attributes

     protected

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

     

     Attributes

     protected

     Definition Classes

     ParameterConstructorMethods

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

     

     Definition Classes

     Params

309. var parent: Estimator[H2OMOJOModel]

     

     Definition Classes

     Model

310. final val predictionCol: Param[String]

     

     Attributes

     protected

     Definition Classes

     H2OAlgorithmMOJOParams

311. val quantileAlpha: DoubleParam

     

     Attributes

     protected

312. val quietMode: BooleanParam

     

     Attributes

     protected

313. val rate: DoubleParam

     

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     protected

314. val rateAnnealing: DoubleParam

     

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315. val rateDecay: DoubleParam

     

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316. val regressionStop: DoubleParam

     

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317. val replicateTrainingData: BooleanParam

     

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318. val reproducible: BooleanParam

     

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319. val rho: DoubleParam

     

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320. final val runTime: LongParam

     

     Attributes

     protected

     Definition Classes

     H2OMOJOModel

321. def save(path: String): Unit

     

     Definition Classes

     MLWritable

     Annotations

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

322. val scoreDutyCycle: DoubleParam

     

     Attributes

     protected

323. val scoreEachIteration: BooleanParam

     

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     protected

324. val scoreInterval: DoubleParam

     

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     protected

325. val scoreTrainingSamples: LongParam

     

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     protected

326. val scoreValidationSamples: LongParam

     

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     protected

327. val scoreValidationSampling: NullableStringParam

     

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     protected

328. final val scoringHistory: NullableDataFrameParam

     

     Attributes

     protected

     Definition Classes

     H2OMOJOModel

329. val seed: LongParam

     

     Attributes

     protected

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

     

     Attributes

     protected

     Definition Classes

     Params

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

     

     Attributes

     protected

     Definition Classes

     Params

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

     

     Definition Classes

     Params

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

     

     Definition Classes

     H2OBaseMOJOParams

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

     

     Attributes

     protected

     Definition Classes

     Params

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

     

     Attributes

     protected

     Definition Classes

     Params

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

     

     Definition Classes

     HasMojo

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

     

     Definition Classes

     HasMojo

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

     

     Definition Classes

     HasMojo

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

     

     Definition Classes

     Model

340. val shuffleTrainingData: BooleanParam

     

     Attributes

     protected

341. val singleNodeMode: BooleanParam

     

     Attributes

     protected

342. val sparse: BooleanParam

     

     Attributes

     protected

343. val sparsityBeta: DoubleParam

     

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344. val standardize: BooleanParam

     

     Attributes

     protected

345. final val startTime: LongParam

     

     Attributes

     protected

     Definition Classes

     H2OMOJOModel

346. val stoppingMetric: NullableStringParam

     

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     protected

347. val stoppingRounds: IntParam

     

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     protected

348. val stoppingTolerance: DoubleParam

     

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

     

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     protected

     Definition Classes

     ParameterConstructorMethods

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

     

     Attributes

     protected

     Definition Classes

     ParameterConstructorMethods

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

     

     Definition Classes

     AnyRef

352. val targetRatioCommToComp: DoubleParam

     

     Attributes

     protected

353. def toString(): String

     

     Definition Classes

     H2OMOJOModel → Identifiable → AnyRef → Any

354. val trainSamplesPerIteration: LongParam

     

     Attributes

     protected

355. final val trainingMetrics: MapStringDoubleParam

     

     Attributes

     protected

     Definition Classes

     H2OMOJOModel

356. final val trainingMetricsObject: NullableMetricsParam

     

     Attributes

     protected

     Definition Classes

     H2OMOJOModel

357. final val trainingParams: MapStringStringParam

     

     Attributes

     protected

     Definition Classes

     H2OMOJOModel

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

     

     Definition Classes

     H2OAlgorithmMOJOModel → Transformer

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

     

     Definition Classes

     Transformer

     Annotations

     @Since( "2.0.0" )

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

     

     Definition Classes

     Transformer

     Annotations

     @Since( "2.0.0" ) @varargs()

361. def transformSchema(schema: StructType): StructType

     

     Definition Classes

     H2OSupervisedMOJOModel → H2OAlgorithmMOJOModel → PipelineStage

     Annotations

     @DeveloperApi()

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

     

     Attributes

     protected

     Definition Classes

     PipelineStage

     Annotations

     @DeveloperApi()

363. val tweediePower: DoubleParam

     

     Attributes

     protected

364. val uid: String

     

     Definition Classes

     H2ODeepLearningMOJOModel → H2OSupervisedMOJOModel → H2OAlgorithmMOJOModel → Identifiable

365. 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

366. val useAllFactorLevels: BooleanParam

     

     Attributes

     protected

367. final val validationMetrics: MapStringDoubleParam

     

     Attributes

     protected

     Definition Classes

     H2OMOJOModel

368. final val validationMetricsObject: NullableMetricsParam

     

     Attributes

     protected

     Definition Classes

     H2OMOJOModel

369. final def wait(): Unit

     

     Definition Classes

     AnyRef

     Annotations

     @throws( ... )

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

     

     Definition Classes

     AnyRef

     Annotations

     @throws( ... )

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

     

     Definition Classes

     AnyRef

     Annotations

     @throws( ... )

372. val weightCol: NullableStringParam

     

     Attributes

     protected

373. final val withContributions: BooleanParam

     

     Attributes

     protected

     Definition Classes

     H2OAlgorithmMOJOParams

374. final val withLeafNodeAssignments: BooleanParam

     

     Attributes

     protected

     Definition Classes

     H2OAlgorithmMOJOParams

375. final val withStageResults: BooleanParam

     

     Attributes

     protected

     Definition Classes

     H2OAlgorithmMOJOParams

376. def write: MLWriter

     

     Definition Classes

     H2OMOJOWritable → MLWritable