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

    

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    protected

12. val balanceClasses: BooleanParam

    

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    protected

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

    

    Attributes

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    Definition Classes

    ParameterConstructorMethods

14. val calculateFeatureImportances: BooleanParam

    

    Attributes

    protected

15. val categoricalEncoding: NullableStringParam

    

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    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. final val dataFrameSerializer: Param[String]

    

    Attributes

    protected

    Definition Classes

    HasDataFrameSerializer

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

    

    Attributes

    protected

    Definition Classes

    Params

30. final val detailedPredictionCol: Param[String]

    

    Attributes

    protected

    Definition Classes

    H2OAlgorithmMOJOParams

31. val diagnostics: BooleanParam

    

    Attributes

    protected

32. val distribution: NullableStringParam

    

    Attributes

    protected

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

    

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    protected

    Definition Classes

    ParameterConstructorMethods

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

    

    Attributes

    protected

    Definition Classes

    ParameterConstructorMethods

35. val elasticAveraging: BooleanParam

    

    Attributes

    protected

36. val elasticAveragingMovingRate: DoubleParam

    

    Attributes

    protected

37. val elasticAveragingRegularization: DoubleParam

    

    Attributes

    protected

38. val epochs: DoubleParam

    

    Attributes

    protected

39. val epsilon: DoubleParam

    

    Attributes

    protected

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

    

    Definition Classes

    AnyRef

41. def equals(arg0: Any): Boolean

    

    Definition Classes

    AnyRef → Any

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

    

    Definition Classes

    Params

43. def explainParams(): String

    

    Definition Classes

    Params

44. val exportCheckpointsDir: NullableStringParam

    

    Attributes

    protected

45. val exportWeightsAndBiases: BooleanParam

    

    Attributes

    protected

46. def extractAnomalyPredictionColContent(): Column

    

    Definition Classes

    H2OMOJOPredictionAnomaly

47. def extractBinomialPredictionColContent(): Column

    

    Definition Classes

    H2OMOJOPredictionBinomial

48. def extractClusteringPredictionColContent(): Column

    

    Definition Classes

    H2OMOJOPredictionClustering

49. def extractCoxPHPredictionColContent(): Column

    

    Definition Classes

    H2OMOJOPredictionCoxPH

50. def extractCrossValidationMetricsSummary(modelJson: JsonObject): DataFrame

    

    Attributes

    protected

    Definition Classes

    H2OMOJOModelUtils

51. def extractDimReductionSimplePredictionColContent(): Column

    

    Definition Classes

    H2OMOJOPredictionDimReduction

52. def extractFeatureImportances(outputJson: JsonObject): DataFrame

    

    Attributes

    protected

    Definition Classes

    H2OMOJOModelUtils

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

    

    Attributes

    protected

    Definition Classes

    H2OMOJOModelUtils

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

    

    Attributes

    protected

    Definition Classes

    H2OMOJOModelUtils

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

    

    Attributes

    protected

    Definition Classes

    H2OMOJOModelUtils

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

    

    Attributes

    protected

    Definition Classes

    H2OMOJOModelUtils

57. def extractMultinomialPredictionColContent(): Column

    

    Definition Classes

    H2OMOJOPredictionMultinomial

58. def extractOrdinalPredictionColContent(): Column

    

    Definition Classes

    H2OMOJOPredictionOrdinal

59. final def extractParamMap(): ParamMap

    

    Definition Classes

    Params

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

    

    Definition Classes

    Params

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

    

    Attributes

    protected

    Definition Classes

    H2OMOJOModelUtils

62. def extractPredictionColContent(): Column

    

    Definition Classes

    H2OMOJOPrediction

63. def extractRegressionPredictionColContent(): Column

    

    Definition Classes

    H2OMOJOPredictionRegression

64. def extractScoringHistory(outputJson: JsonObject): DataFrame

    

    Attributes

    protected

    Definition Classes

    H2OMOJOModelUtils

65. def extractWordEmbeddingPredictionColContent(): Column

    

    Definition Classes

    H2OMOJOPredictionWordEmbedding

66. val fastMode: BooleanParam

    

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    protected

67. final val featureImportances: NullableDataFrameParam

    

    Attributes

    protected

    Definition Classes

    H2OMOJOModel

68. final val featureTypes: MapStringStringParam

    

    Attributes

    protected

    Definition Classes

    HasFeatureTypesOnMOJO

69. final val featuresCols: StringArrayParam

    

    Attributes

    protected

    Definition Classes

    H2OAlgorithmMOJOParams

70. def finalize(): Unit

    

    Attributes

    protected[java.lang]

    Definition Classes

    AnyRef

    Annotations

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

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

    

    Attributes

    protected

    Definition Classes

    ParameterConstructorMethods

72. val foldAssignment: NullableStringParam

    

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    protected

73. val foldCol: NullableStringParam

    

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    protected

74. val forceLoadBalance: BooleanParam

    

    Attributes

    protected

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

    

    Definition Classes

    Params

76. def getActivation(): String

    

77. def getAdaptiveRate(): Boolean

    

78. def getAnomalyPredictionColSchema(): Seq[StructField]

    

    Definition Classes

    H2OMOJOPredictionAnomaly

79. def getAnomalyPredictionSchema(): StructType

    

    Definition Classes

    H2OMOJOPredictionAnomaly

80. def getAnomalyPredictionUDF(): UserDefinedFunction

    

    Definition Classes

    H2OMOJOPredictionAnomaly

81. def getAucType(): String

    

82. def getAutoencoder(): Boolean

    

    Definition Classes

    HasDeprecatedAutoencoderOnMOJO

    Annotations

    @DeprecatedMethod( x$2 , x$1 )

83. def getAverageActivation(): Double

    

84. def getBalanceClasses(): Boolean

    

85. def getBinomialPredictionColSchema(): Seq[StructField]

    

    Definition Classes

    H2OMOJOPredictionBinomial

86. def getBinomialPredictionSchema(): StructType

    

    Definition Classes

    H2OMOJOPredictionBinomial

87. def getBinomialPredictionUDF(): UserDefinedFunction

    

    Definition Classes

    H2OMOJOPredictionBinomial

88. def getCalculateFeatureImportances(): Boolean

    

    Definition Classes

    H2ODeepLearningMOJOModel → HasDeprecatedVariableImportancesOnMOJO

89. def getCategoricalEncoding(): String

    

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

    

    Definition Classes

    AnyRef → Any

91. def getClassSamplingFactors(): Array[Float]

    

92. def getClassificationStop(): Double

    

93. def getClusteringPredictionColSchema(): Seq[StructField]

    

    Definition Classes

    H2OMOJOPredictionClustering

94. def getClusteringPredictionSchema(): StructType

    

    Definition Classes

    H2OMOJOPredictionClustering

95. def getClusteringPredictionUDF(): UserDefinedFunction

    

    Definition Classes

    H2OMOJOPredictionClustering

96. def getContributionsSchema(model: EasyPredictModelWrapper): DataType

    

    Attributes

    protected

    Definition Classes

    PredictionWithContributions

97. def getConvertInvalidNumbersToNa(): Boolean

    

    Definition Classes

    H2OBaseMOJOParams

98. def getConvertUnknownCategoricalLevelsToNa(): Boolean

    

    Definition Classes

    H2OBaseMOJOParams

99. def getCoxPHPredictionColSchema(): Seq[StructField]

    

    Definition Classes

    H2OMOJOPredictionCoxPH

100. def getCoxPHPredictionSchema(): StructType

     

     Definition Classes

     H2OMOJOPredictionCoxPH

101. def getCoxPHPredictionUDF(): UserDefinedFunction

     

     Definition Classes

     H2OMOJOPredictionCoxPH

102. 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

103. 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

104. 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

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

     

     Definition Classes

     H2OMOJOModel

106. 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

107. 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

108. def getDataFrameSerializer(): String

     

     Definition Classes

     HasDataFrameSerializer

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

     

     Definition Classes

     Params

110. def getDetailedPredictionCol(): String

     

     Definition Classes

     H2OAlgorithmMOJOParams

111. def getDetailedPredictionColSchema(): Seq[StructField]

     

     Definition Classes

     H2OMOJOPrediction

112. def getDiagnostics(): Boolean

     

113. def getDimReductionPredictionColSchema(): Seq[StructField]

     

     Definition Classes

     H2OMOJOPredictionDimReduction

114. def getDimReductionPredictionSchema(): StructType

     

     Definition Classes

     H2OMOJOPredictionDimReduction

115. def getDimReductionPredictionUDF(): UserDefinedFunction

     

     Definition Classes

     H2OMOJOPredictionDimReduction

116. def getDistribution(): String

     

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

     

     Definition Classes

     H2OMOJOModel

118. def getElasticAveraging(): Boolean

     

119. def getElasticAveragingMovingRate(): Double

     

120. def getElasticAveragingRegularization(): Double

     

121. def getEpochs(): Double

     

122. def getEpsilon(): Double

     

123. def getExportCheckpointsDir(): String

     

124. def getExportWeightsAndBiases(): Boolean

     

125. def getFastMode(): Boolean

     

126. def getFeatureImportances(): DataFrame

     

     Definition Classes

     H2OMOJOModel

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

     

     Definition Classes

     HasFeatureTypesOnMOJO

128. def getFeaturesCols(): Array[String]

     

     Definition Classes

     H2OAlgorithmMOJOParams

129. def getFoldAssignment(): String

     

130. def getFoldCol(): String

     

131. def getForceLoadBalance(): Boolean

     

132. def getHidden(): Array[Int]

     

133. def getHiddenDropoutRatios(): Array[Double]

     

134. def getHuberAlpha(): Double

     

135. def getIgnoreConstCols(): Boolean

     

136. def getIgnoredCols(): Array[String]

     

     Definition Classes

     HasIgnoredColsOnMOJO

137. def getInitialWeightDistribution(): String

     

138. def getInitialWeightScale(): Double

     

139. def getInputDropoutRatio(): Double

     

140. def getKeepCrossValidationFoldAssignment(): Boolean

     

141. def getKeepCrossValidationModels(): Boolean

     

142. def getKeepCrossValidationPredictions(): Boolean

     

143. def getL1(): Double

     

144. def getL2(): Double

     

145. def getLabelCol(): String

     

146. def getLoss(): String

     

147. def getMaxAfterBalanceSize(): Float

     

148. def getMaxCategoricalFeatures(): Int

     

149. def getMaxRuntimeSecs(): Double

     

150. def getMaxW2(): Float

     

151. def getMiniBatchSize(): Int

     

152. def getMissingValuesHandling(): String

     

153. def getModelCategory(): String

     

     Definition Classes

     H2OMOJOModel

154. def getModelDetails(): String

     

     Definition Classes

     H2OMOJOModel

155. def getModelDetails(modelJson: JsonObject): String

     

     Attributes

     protected

     Definition Classes

     H2OMOJOModelUtils

156. def getModelJson(mojo: File): JsonObject

     

     Attributes

     protected

     Definition Classes

     H2OMOJOModelUtils

157. def getMomentumRamp(): Double

     

158. def getMomentumStable(): Double

     

159. def getMomentumStart(): Double

     

160. def getMultinomialPredictionColSchema(): Seq[StructField]

     

     Definition Classes

     H2OMOJOPredictionMultinomial

161. def getMultinomialPredictionSchema(): StructType

     

     Definition Classes

     H2OMOJOPredictionMultinomial

162. def getMultinomialPredictionUDF(): UserDefinedFunction

     

     Definition Classes

     H2OMOJOPredictionMultinomial

163. def getNamedMojoOutputColumns(): Boolean

     

     Definition Classes

     H2OAlgorithmMOJOParams

164. def getNesterovAcceleratedGradient(): Boolean

     

165. def getNfolds(): Int

     

166. def getOffsetCol(): String

     

     Definition Classes

     H2OSupervisedMOJOParams

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

     

     Definition Classes

     Params

168. def getOrdinalPredictionColSchema(): Seq[StructField]

     

     Definition Classes

     H2OMOJOPredictionOrdinal

169. def getOrdinalPredictionSchema(): StructType

     

     Definition Classes

     H2OMOJOPredictionOrdinal

170. def getOrdinalPredictionUDF(): UserDefinedFunction

     

     Definition Classes

     H2OMOJOPredictionOrdinal

171. def getOverwriteWithBestModel(): Boolean

     

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

     

     Definition Classes

     Params

173. def getPredictionCol(): String

     

     Definition Classes

     H2OAlgorithmMOJOParams

174. def getPredictionColSchema(): Seq[StructField]

     

     Definition Classes

     H2OMOJOPrediction

175. def getPredictionSchema(): StructType

     

     Definition Classes

     H2OMOJOPrediction

176. def getPredictionUDF(): UserDefinedFunction

     

     Definition Classes

     H2OMOJOPrediction

177. def getQuantileAlpha(): Double

     

178. def getQuietMode(): Boolean

     

179. def getRate(): Double

     

180. def getRateAnnealing(): Double

     

181. def getRateDecay(): Double

     

182. def getRegressionPredictionColSchema(): Seq[StructField]

     

     Definition Classes

     H2OMOJOPredictionRegression

183. def getRegressionPredictionSchema(): StructType

     

     Definition Classes

     H2OMOJOPredictionRegression

184. def getRegressionPredictionUDF(): UserDefinedFunction

     

     Definition Classes

     H2OMOJOPredictionRegression

185. def getRegressionStop(): Double

     

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

     

     Attributes

     protected

     Definition Classes

     H2OMOJOFlattenedInput

187. def getReplicateTrainingData(): Boolean

     

188. def getReproducible(): Boolean

     

189. def getRho(): Double

     

190. def getScoreDutyCycle(): Double

     

191. def getScoreEachIteration(): Boolean

     

192. def getScoreInterval(): Double

     

193. def getScoreTrainingSamples(): Long

     

194. def getScoreValidationSamples(): Long

     

195. def getScoreValidationSampling(): String

     

196. def getScoringHistory(): DataFrame

     

     Definition Classes

     H2OMOJOModel

197. def getSeed(): Long

     

198. def getShuffleTrainingData(): Boolean

     

199. def getSingleNodeMode(): Boolean

     

200. def getSparse(): Boolean

     

201. def getSparsityBeta(): Double

     

202. def getStageProbabilitiesSchema(model: EasyPredictModelWrapper): DataType

     

     Attributes

     protected

     Definition Classes

     PredictionWithStageProbabilities

203. def getStandardize(): Boolean

     

204. def getStoppingMetric(): String

     

205. def getStoppingRounds(): Int

     

206. def getStoppingTolerance(): Double

     

207. def getTargetRatioCommToComp(): Double

     

208. def getTrainSamplesPerIteration(): Long

     

209. 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

210. 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

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

     

     Definition Classes

     H2OMOJOModel

212. def getTweediePower(): Double

     

213. def getUseAllFactorLevels(): Boolean

     

214. 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

215. 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

216. def getVariableImportances(): Boolean

     

     Definition Classes

     HasDeprecatedVariableImportancesOnMOJO

     Annotations

     @DeprecatedMethod( "getCalculateFeatureImportances" , "3.36" )

217. def getWeightCol(): String

     

218. def getWithContributions(): Boolean

     

     Definition Classes

     H2OAlgorithmMOJOParams

219. def getWithDetailedPredictionCol(): Boolean

     

     Definition Classes

     H2OAlgorithmMOJOParams

     Annotations

     @DeprecatedMethod( x$2 , x$1 )

220. def getWithLeafNodeAssignments(): Boolean

     

     Definition Classes

     H2OAlgorithmMOJOParams

221. def getWithStageResults(): Boolean

     

     Definition Classes

     H2OAlgorithmMOJOParams

222. def getWordEmbeddingPredictionColSchema(): Seq[StructField]

     

     Definition Classes

     H2OMOJOPredictionWordEmbedding

223. def getWordEmbeddingPredictionSchema(): StructType

     

     Definition Classes

     H2OMOJOPredictionWordEmbedding

224. def getWordEmbeddingPredictionUDF(): UserDefinedFunction

     

     Definition Classes

     H2OMOJOPredictionWordEmbedding

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

     

     Definition Classes

     Params

226. def hasParam(paramName: String): Boolean

     

     Definition Classes

     Params

227. def hasParent: Boolean

     

     Definition Classes

     Model

228. def hashCode(): Int

     

     Definition Classes

     AnyRef → Any

229. val hidden: IntArrayParam

     

     Attributes

     protected

230. val hiddenDropoutRatios: NullableDoubleArrayParam

     

     Attributes

     protected

231. val huberAlpha: DoubleParam

     

     Attributes

     protected

232. val ignoreConstCols: BooleanParam

     

     Attributes

     protected

233. val initialWeightDistribution: NullableStringParam

     

     Attributes

     protected

234. val initialWeightScale: DoubleParam

     

     Attributes

     protected

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

     

     Attributes

     protected

     Definition Classes

     Logging

236. def initializeLogIfNecessary(isInterpreter: Boolean): Unit

     

     Attributes

     protected

     Definition Classes

     Logging

237. def inputColumnNames: Array[String]

     

     Attributes

     protected

     Definition Classes

     H2OAlgorithmMOJOModel → H2OMOJOFlattenedInput

238. val inputDropoutRatio: DoubleParam

     

     Attributes

     protected

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

     

     Attributes

     protected

     Definition Classes

     ParameterConstructorMethods

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

     

     Attributes

     protected

     Definition Classes

     ParameterConstructorMethods

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

     

     Definition Classes

     Params

242. final def isInstanceOf[T0]: Boolean

     

     Definition Classes

     Any

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

     

     Definition Classes

     Params

244. def isTraceEnabled(): Boolean

     

     Attributes

     protected

     Definition Classes

     Logging

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

     

     Attributes

     protected

     Definition Classes

     H2OMOJOModelUtils

246. val keepCrossValidationFoldAssignment: BooleanParam

     

     Attributes

     protected

247. val keepCrossValidationModels: BooleanParam

     

     Attributes

     protected

248. val keepCrossValidationPredictions: BooleanParam

     

     Attributes

     protected

249. val l1: DoubleParam

     

     Attributes

     protected

250. val l2: DoubleParam

     

     Attributes

     protected

251. val labelCol: Param[String]

     

     Attributes

     protected

252. def log: Logger

     

     Attributes

     protected

     Definition Classes

     Logging

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

     

     Attributes

     protected

     Definition Classes

     Logging

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

     

     Attributes

     protected

     Definition Classes

     Logging

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

     

     Attributes

     protected

     Definition Classes

     Logging

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

     

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     protected

     Definition Classes

     Logging

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

     

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     protected

     Definition Classes

     Logging

258. def logInfo(msg: ⇒ String): Unit

     

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     protected

     Definition Classes

     Logging

259. def logName: String

     

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     protected

     Definition Classes

     Logging

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

     

     Attributes

     protected

     Definition Classes

     Logging

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

     

     Attributes

     protected

     Definition Classes

     Logging

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

     

     Attributes

     protected

     Definition Classes

     Logging

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

     

     Attributes

     protected

     Definition Classes

     Logging

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

     

     Attributes

     protected

     Definition Classes

     ParameterConstructorMethods

265. val loss: NullableStringParam

     

     Attributes

     protected

266. val maxAfterBalanceSize: FloatParam

     

     Attributes

     protected

267. val maxCategoricalFeatures: IntParam

     

     Attributes

     protected

268. val maxRuntimeSecs: DoubleParam

     

     Attributes

     protected

269. val maxW2: FloatParam

     

     Attributes

     protected

270. val miniBatchSize: IntParam

     

     Attributes

     protected

271. val missingValuesHandling: NullableStringParam

     

     Attributes

     protected

272. final val modelCategory: NullableStringParam

     

     Attributes

     protected

     Definition Classes

     H2OMOJOModel

273. final val modelDetails: NullableStringParam

     

     Attributes

     protected

     Definition Classes

     H2OMOJOModel

274. val momentumRamp: DoubleParam

     

     Attributes

     protected

275. val momentumStable: DoubleParam

     

     Attributes

     protected

276. val momentumStart: DoubleParam

     

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     protected

277. final val namedMojoOutputColumns: Param[Boolean]

     

     Attributes

     protected

     Definition Classes

     H2OAlgorithmMOJOParams

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

     

     Definition Classes

     AnyRef

279. val nesterovAcceleratedGradient: BooleanParam

     

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     protected

280. val nfolds: IntParam

     

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     protected

281. final def notify(): Unit

     

     Definition Classes

     AnyRef

282. final def notifyAll(): Unit

     

     Definition Classes

     AnyRef

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

     

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     protected

     Definition Classes

     ParameterConstructorMethods

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

     

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     protected

     Definition Classes

     ParameterConstructorMethods

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

     

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     protected

     Definition Classes

     ParameterConstructorMethods

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

     

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     protected

     Definition Classes

     ParameterConstructorMethods

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

     

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     Definition Classes

     ParameterConstructorMethods

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

     

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     Definition Classes

     ParameterConstructorMethods

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

     

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     Definition Classes

     ParameterConstructorMethods

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

     

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     Definition Classes

     ParameterConstructorMethods

291. def outputColumnName: String

     

     Attributes

     protected

     Definition Classes

     H2OAlgorithmMOJOModel → H2OMOJOFlattenedInput

292. val overwriteWithBestModel: BooleanParam

     

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     protected

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

     

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     Definition Classes

     ParameterConstructorMethods

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

     

     Definition Classes

     Params

295. var parent: Estimator[H2OMOJOModel]

     

     Definition Classes

     Model

296. final val predictionCol: Param[String]

     

     Attributes

     protected

     Definition Classes

     H2OAlgorithmMOJOParams

297. val quantileAlpha: DoubleParam

     

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298. val quietMode: BooleanParam

     

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299. val rate: DoubleParam

     

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300. val rateAnnealing: DoubleParam

     

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301. val rateDecay: DoubleParam

     

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302. val regressionStop: DoubleParam

     

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303. val replicateTrainingData: BooleanParam

     

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304. val reproducible: BooleanParam

     

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305. val rho: DoubleParam

     

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306. def save(path: String): Unit

     

     Definition Classes

     MLWritable

     Annotations

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

307. val scoreDutyCycle: DoubleParam

     

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308. val scoreEachIteration: BooleanParam

     

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309. val scoreInterval: DoubleParam

     

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310. val scoreTrainingSamples: LongParam

     

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311. val scoreValidationSamples: LongParam

     

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312. val scoreValidationSampling: NullableStringParam

     

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313. final val scoringHistory: NullableDataFrameParam

     

     Attributes

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     Definition Classes

     H2OMOJOModel

314. val seed: LongParam

     

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     protected

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

     

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     Definition Classes

     Params

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

     

     Attributes

     protected

     Definition Classes

     Params

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

     

     Definition Classes

     Params

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

     

     Definition Classes

     H2OBaseMOJOParams

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

     

     Attributes

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     Definition Classes

     Params

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

     

     Attributes

     protected

     Definition Classes

     Params

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

     

     Definition Classes

     HasMojo

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

     

     Definition Classes

     HasMojo

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

     

     Definition Classes

     HasMojo

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

     

     Definition Classes

     Model

325. val shuffleTrainingData: BooleanParam

     

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     protected

326. val singleNodeMode: BooleanParam

     

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327. val sparse: BooleanParam

     

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328. val sparsityBeta: DoubleParam

     

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329. val standardize: BooleanParam

     

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330. val stoppingMetric: NullableStringParam

     

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331. val stoppingRounds: IntParam

     

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332. val stoppingTolerance: DoubleParam

     

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

     

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     Definition Classes

     ParameterConstructorMethods

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

     

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     Definition Classes

     ParameterConstructorMethods

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

     

     Definition Classes

     AnyRef

336. val targetRatioCommToComp: DoubleParam

     

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     protected

337. def toString(): String

     

     Definition Classes

     Identifiable → AnyRef → Any

338. val trainSamplesPerIteration: LongParam

     

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     protected

339. final val trainingMetrics: MapStringDoubleParam

     

     Attributes

     protected

     Definition Classes

     H2OMOJOModel

340. final val trainingMetricsObject: NullableMetricsParam

     

     Attributes

     protected

     Definition Classes

     H2OMOJOModel

341. final val trainingParams: MapStringStringParam

     

     Attributes

     protected

     Definition Classes

     H2OMOJOModel

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

     

     Definition Classes

     H2OAlgorithmMOJOModel → Transformer

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

     

     Definition Classes

     Transformer

     Annotations

     @Since( "2.0.0" )

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

     

     Definition Classes

     Transformer

     Annotations

     @Since( "2.0.0" ) @varargs()

345. def transformSchema(schema: StructType): StructType

     

     Definition Classes

     H2OSupervisedMOJOModel → H2OAlgorithmMOJOModel → PipelineStage

     Annotations

     @DeveloperApi()

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

     

     Attributes

     protected

     Definition Classes

     PipelineStage

     Annotations

     @DeveloperApi()

347. val tweediePower: DoubleParam

     

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     protected

348. val uid: String

     

     Definition Classes

     H2ODeepLearningMOJOModel → H2OSupervisedMOJOModel → H2OAlgorithmMOJOModel → Identifiable

349. 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

350. val useAllFactorLevels: BooleanParam

     

     Attributes

     protected

351. final val validationMetrics: MapStringDoubleParam

     

     Attributes

     protected

     Definition Classes

     H2OMOJOModel

352. final val validationMetricsObject: NullableMetricsParam

     

     Attributes

     protected

     Definition Classes

     H2OMOJOModel

353. final def wait(): Unit

     

     Definition Classes

     AnyRef

     Annotations

     @throws( ... )

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

     

     Definition Classes

     AnyRef

     Annotations

     @throws( ... )

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

     

     Definition Classes

     AnyRef

     Annotations

     @throws( ... )

356. val weightCol: NullableStringParam

     

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     protected

357. final val withContributions: BooleanParam

     

     Attributes

     protected

     Definition Classes

     H2OAlgorithmMOJOParams

358. final val withDetailedPredictionCol: BooleanParam

     

     Attributes

     protected

     Definition Classes

     H2OAlgorithmMOJOParams

359. final val withLeafNodeAssignments: BooleanParam

     

     Attributes

     protected

     Definition Classes

     H2OAlgorithmMOJOParams

360. final val withStageResults: BooleanParam

     

     Attributes

     protected

     Definition Classes

     H2OAlgorithmMOJOParams

361. def write: MLWriter

     

     Definition Classes

     H2OMOJOWritable → MLWritable