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. final val dataFrameSerializer: Param[String]

    

    Attributes

    protected

    Definition Classes

    HasDataFrameSerializer

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

    

    Attributes

    protected

    Definition Classes

    Params

32. final val defaultThreshold: DoubleParam

    

    Attributes

    protected

    Definition Classes

    H2OMOJOModel

33. final val detailedPredictionCol: Param[String]

    

    Attributes

    protected

    Definition Classes

    H2OAlgorithmMOJOParams

34. val diagnostics: BooleanParam

    

    Attributes

    protected

35. val distribution: NullableStringParam

    

    Attributes

    protected

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

    

    Attributes

    protected

    Definition Classes

    ParameterConstructorMethods

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

    

    Attributes

    protected

    Definition Classes

    ParameterConstructorMethods

38. val elasticAveraging: BooleanParam

    

    Attributes

    protected

39. val elasticAveragingMovingRate: DoubleParam

    

    Attributes

    protected

40. val elasticAveragingRegularization: DoubleParam

    

    Attributes

    protected

41. final val endTime: LongParam

    

    Attributes

    protected

    Definition Classes

    H2OMOJOModel

42. val epochs: DoubleParam

    

    Attributes

    protected

43. val epsilon: DoubleParam

    

    Attributes

    protected

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

    

    Definition Classes

    AnyRef

45. def equals(arg0: Any): Boolean

    

    Definition Classes

    AnyRef → Any

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

    

    Definition Classes

    Params

47. def explainParams(): String

    

    Definition Classes

    Params

48. val exportCheckpointsDir: NullableStringParam

    

    Attributes

    protected

49. val exportWeightsAndBiases: BooleanParam

    

    Attributes

    protected

50. def extractAnomalyPredictionColContent(): Column

    

    Definition Classes

    H2OMOJOPredictionAnomaly

51. def extractBinomialPredictionColContent(): Column

    

    Definition Classes

    H2OMOJOPredictionBinomial

52. def extractClusteringPredictionColContent(): Column

    

    Definition Classes

    H2OMOJOPredictionClustering

53. def extractCoefficients(outputJson: JsonObject): DataFrame

    

    Attributes

    protected

    Definition Classes

    H2OMOJOModelUtils

54. def extractCoxPHPredictionColContent(): Column

    

    Definition Classes

    H2OMOJOPredictionCoxPH

55. def extractCrossValidationMetricsSummary(modelJson: JsonObject): DataFrame

    

    Attributes

    protected

    Definition Classes

    H2OMOJOModelUtils

56. def extractDimReductionSimplePredictionColContent(): Column

    

    Definition Classes

    H2OMOJOPredictionDimReduction

57. def extractFeatureImportances(outputJson: JsonObject): DataFrame

    

    Attributes

    protected

    Definition Classes

    H2OMOJOModelUtils

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

    

    Attributes

    protected

    Definition Classes

    H2OMOJOModelUtils

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

    

    Attributes

    protected

    Definition Classes

    H2OMOJOModelUtils

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

    

    Attributes

    protected

    Definition Classes

    H2OMOJOModelUtils

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

    

    Attributes

    protected

    Definition Classes

    H2OMOJOModelUtils

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

    

    Attributes

    protected

    Definition Classes

    H2OMOJOModelUtils

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

    

    Attributes

    protected

    Definition Classes

    H2OMOJOModelUtils

64. def extractModelSummary(outputJson: JsonObject): DataFrame

    

    Attributes

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

    Definition Classes

    H2OMOJOModelUtils

65. def extractMultinomialPredictionColContent(): Column

    

    Definition Classes

    H2OMOJOPredictionMultinomial

66. def extractOrdinalPredictionColContent(): Column

    

    Definition Classes

    H2OMOJOPredictionOrdinal

67. final def extractParamMap(): ParamMap

    

    Definition Classes

    Params

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

    

    Definition Classes

    Params

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

    

    Attributes

    protected

    Definition Classes

    H2OMOJOModelUtils

70. def extractPredictionColContent(): Column

    

    Definition Classes

    H2OMOJOPrediction

71. def extractRegressionPredictionColContent(): Column

    

    Definition Classes

    H2OMOJOPredictionRegression

72. def extractScoringHistory(outputJson: JsonObject): DataFrame

    

    Attributes

    protected

    Definition Classes

    H2OMOJOModelUtils

73. def extractWordEmbeddingPredictionColContent(): Column

    

    Definition Classes

    H2OMOJOPredictionWordEmbedding

74. val fastMode: BooleanParam

    

    Attributes

    protected

75. final val featureImportances: NullableDataFrameParam

    

    Attributes

    protected

    Definition Classes

    H2OMOJOModel

76. final val featureTypes: MapStringStringParam

    

    Attributes

    protected

    Definition Classes

    HasFeatureTypesOnMOJO

77. final val featuresCols: StringArrayParam

    

    Attributes

    protected

    Definition Classes

    H2OAlgorithmMOJOParams

78. def finalize(): Unit

    

    Attributes

    protected[java.lang]

    Definition Classes

    AnyRef

    Annotations

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

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

    

    Attributes

    protected

    Definition Classes

    ParameterConstructorMethods

80. val foldAssignment: NullableStringParam

    

    Attributes

    protected

81. val foldCol: NullableStringParam

    

    Attributes

    protected

82. val forceLoadBalance: BooleanParam

    

    Attributes

    protected

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

    

    Definition Classes

    Params

84. def getActivation(): String

    

85. def getAdaptiveRate(): Boolean

    

86. def getAnomalyPredictionColSchema(): Seq[StructField]

    

    Definition Classes

    H2OMOJOPredictionAnomaly

87. def getAnomalyPredictionSchema(): StructType

    

    Definition Classes

    H2OMOJOPredictionAnomaly

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

    

    Definition Classes

    H2OMOJOPredictionAnomaly

89. def getAucType(): String

    

90. def getAverageActivation(): Double

    

91. def getBalanceClasses(): Boolean

    

92. def getBinomialPredictionColSchema(): Seq[StructField]

    

    Definition Classes

    H2OMOJOPredictionBinomial

93. def getBinomialPredictionSchema(): StructType

    

    Definition Classes

    H2OMOJOPredictionBinomial

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

    

    Definition Classes

    H2OMOJOPredictionBinomial

95. def getCalculateFeatureImportances(): Boolean

    

96. def getCategoricalEncoding(): String

    

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

    

    Definition Classes

    AnyRef → Any

98. def getClassSamplingFactors(): Array[Float]

    

99. def getClassificationStop(): Double

    

100. def getClusteringPredictionColSchema(): Seq[StructField]

     

     Definition Classes

     H2OMOJOPredictionClustering

101. def getClusteringPredictionSchema(): StructType

     

     Definition Classes

     H2OMOJOPredictionClustering

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

     

     Definition Classes

     H2OMOJOPredictionClustering

103. def getCoefficients(): DataFrame

     

     Definition Classes

     H2OMOJOModel

104. def getContributionsSchema(model: EasyPredictModelWrapper): DataType

     

     Attributes

     protected

     Definition Classes

     PredictionWithContributions

105. def getConvertInvalidNumbersToNa(): Boolean

     

     Definition Classes

     H2OBaseMOJOParams

106. def getConvertUnknownCategoricalLevelsToNa(): Boolean

     

     Definition Classes

     H2OBaseMOJOParams

107. def getCoxPHPredictionColSchema(): Seq[StructField]

     

     Definition Classes

     H2OMOJOPredictionCoxPH

108. def getCoxPHPredictionSchema(): StructType

     

     Definition Classes

     H2OMOJOPredictionCoxPH

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

     

     Definition Classes

     H2OMOJOPredictionCoxPH

110. 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

111. 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

112. 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

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

     

     Definition Classes

     H2OMOJOModel

114. def getCrossValidationModelsScoringHistory(): Array[DataFrame]

     

     Definition Classes

     H2OMOJOModel

115. 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

116. 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

117. def getDataFrameSerializer(): String

     

     Definition Classes

     HasDataFrameSerializer

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

     

     Definition Classes

     Params

119. def getDefaultThreshold(): Double

     

     Definition Classes

     H2OMOJOModel

120. def getDetailedPredictionCol(): String

     

     Definition Classes

     H2OAlgorithmMOJOParams

121. def getDetailedPredictionColSchema(): Seq[StructField]

     

     Definition Classes

     H2OMOJOPrediction

122. def getDiagnostics(): Boolean

     

123. def getDimReductionPredictionColSchema(): Seq[StructField]

     

     Definition Classes

     H2OMOJOPredictionDimReduction

124. def getDimReductionPredictionSchema(): StructType

     

     Definition Classes

     H2OMOJOPredictionDimReduction

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

     

     Definition Classes

     H2OMOJOPredictionDimReduction

126. def getDistribution(): String

     

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

     

     Definition Classes

     H2OMOJOModel

128. def getElasticAveraging(): Boolean

     

129. def getElasticAveragingMovingRate(): Double

     

130. def getElasticAveragingRegularization(): Double

     

131. def getEndTime(): Long

     

     Definition Classes

     H2OMOJOModel

132. def getEpochs(): Double

     

133. def getEpsilon(): Double

     

134. def getExportCheckpointsDir(): String

     

135. def getExportWeightsAndBiases(): Boolean

     

136. def getFastMode(): Boolean

     

137. def getFeatureImportances(): DataFrame

     

     Definition Classes

     H2OMOJOModel

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

     

     Definition Classes

     HasFeatureTypesOnMOJO

139. def getFeaturesCols(): Array[String]

     

     Definition Classes

     H2OAlgorithmMOJOParams

140. def getFoldAssignment(): String

     

141. def getFoldCol(): String

     

142. def getForceLoadBalance(): Boolean

     

143. def getHidden(): Array[Int]

     

144. def getHiddenDropoutRatios(): Array[Double]

     

145. def getHuberAlpha(): Double

     

146. def getIgnoreConstCols(): Boolean

     

147. def getIgnoredCols(): Array[String]

     

     Definition Classes

     HasIgnoredColsOnMOJO

148. def getInitialWeightDistribution(): String

     

149. def getInitialWeightScale(): Double

     

150. def getInputDropoutRatio(): Double

     

151. def getKeepCrossValidationFoldAssignment(): Boolean

     

152. def getKeepCrossValidationModels(): Boolean

     

153. def getKeepCrossValidationPredictions(): Boolean

     

154. def getL1(): Double

     

155. def getL2(): Double

     

156. def getLabelCol(): String

     

157. def getLoss(): String

     

158. def getMaxAfterBalanceSize(): Float

     

159. def getMaxCategoricalFeatures(): Int

     

160. def getMaxRuntimeSecs(): Double

     

161. def getMaxW2(): Float

     

162. def getMiniBatchSize(): Int

     

163. def getMissingValuesHandling(): String

     

164. def getModelCategory(): String

     

     Definition Classes

     H2OMOJOModel

165. def getModelDetails(): String

     

     Definition Classes

     H2OMOJOModel

166. def getModelDetails(modelJson: JsonObject): String

     

     Attributes

     protected

     Definition Classes

     H2OMOJOModelUtils

167. def getModelJson(mojo: File): JsonObject

     

     Attributes

     protected

     Definition Classes

     H2OMOJOModelUtils

168. def getModelSummary(): DataFrame

     

     Definition Classes

     H2OMOJOModel

169. def getMomentumRamp(): Double

     

170. def getMomentumStable(): Double

     

171. def getMomentumStart(): Double

     

172. def getMultinomialPredictionColSchema(): Seq[StructField]

     

     Definition Classes

     H2OMOJOPredictionMultinomial

173. def getMultinomialPredictionSchema(): StructType

     

     Definition Classes

     H2OMOJOPredictionMultinomial

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

     

     Definition Classes

     H2OMOJOPredictionMultinomial

175. def getNamedMojoOutputColumns(): Boolean

     

     Definition Classes

     H2OAlgorithmMOJOParams

     Annotations

     @DeprecatedMethod( x$2 , x$1 )

176. def getNesterovAcceleratedGradient(): Boolean

     

177. def getNfolds(): Int

     

178. def getOffsetCol(): String

     

     Definition Classes

     H2OSupervisedMOJOParams

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

     

     Definition Classes

     Params

180. def getOrdinalPredictionColSchema(): Seq[StructField]

     

     Definition Classes

     H2OMOJOPredictionOrdinal

181. def getOrdinalPredictionSchema(): StructType

     

     Definition Classes

     H2OMOJOPredictionOrdinal

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

     

     Definition Classes

     H2OMOJOPredictionOrdinal

183. def getOverwriteWithBestModel(): Boolean

     

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

     

     Definition Classes

     Params

185. def getPredictionCol(): String

     

     Definition Classes

     H2OAlgorithmMOJOParams

186. def getPredictionColSchema(): Seq[StructField]

     

     Definition Classes

     H2OMOJOPrediction

187. def getPredictionSchema(): StructType

     

     Definition Classes

     H2OMOJOPrediction

188. def getPredictionUDF(): UserDefinedFunction

     

     Definition Classes

     H2OMOJOPrediction

189. def getQuantileAlpha(): Double

     

190. def getQuietMode(): Boolean

     

191. def getRate(): Double

     

192. def getRateAnnealing(): Double

     

193. def getRateDecay(): Double

     

194. def getRegressionPredictionColSchema(): Seq[StructField]

     

     Definition Classes

     H2OMOJOPredictionRegression

195. def getRegressionPredictionSchema(): StructType

     

     Definition Classes

     H2OMOJOPredictionRegression

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

     

     Definition Classes

     H2OMOJOPredictionRegression

197. def getRegressionStop(): Double

     

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

     

     Attributes

     protected

     Definition Classes

     H2OMOJOFlattenedInput

199. def getReplicateTrainingData(): Boolean

     

200. def getReproducible(): Boolean

     

201. def getRho(): Double

     

202. def getRunTime(): Long

     

     Definition Classes

     H2OMOJOModel

203. def getScoreDutyCycle(): Double

     

204. def getScoreEachIteration(): Boolean

     

205. def getScoreInterval(): Double

     

206. def getScoreTrainingSamples(): Long

     

207. def getScoreValidationSamples(): Long

     

208. def getScoreValidationSampling(): String

     

209. def getScoringHistory(): DataFrame

     

     Definition Classes

     H2OMOJOModel

210. def getSeed(): Long

     

211. def getShuffleTrainingData(): Boolean

     

212. def getSingleNodeMode(): Boolean

     

213. def getSparse(): Boolean

     

214. def getSparsityBeta(): Double

     

215. def getStageProbabilitiesSchema(model: EasyPredictModelWrapper): DataType

     

     Attributes

     protected

     Definition Classes

     PredictionWithStageProbabilities

216. def getStandardize(): Boolean

     

217. def getStartTime(): Long

     

     Definition Classes

     H2OMOJOModel

218. def getStoppingMetric(): String

     

219. def getStoppingRounds(): Int

     

220. def getStoppingTolerance(): Double

     

221. def getTargetRatioCommToComp(): Double

     

222. def getTrainSamplesPerIteration(): Long

     

223. 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

224. 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

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

     

     Definition Classes

     H2OMOJOModel

226. def getTweediePower(): Double

     

227. def getUseAllFactorLevels(): Boolean

     

228. 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

229. 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

230. def getWeightCol(): String

     

231. def getWithContributions(): Boolean

     

     Definition Classes

     H2OAlgorithmMOJOParams

232. def getWithLeafNodeAssignments(): Boolean

     

     Definition Classes

     H2OAlgorithmMOJOParams

233. def getWithStageResults(): Boolean

     

     Definition Classes

     H2OAlgorithmMOJOParams

234. def getWordEmbeddingPredictionColSchema(): Seq[StructField]

     

     Definition Classes

     H2OMOJOPredictionWordEmbedding

235. def getWordEmbeddingPredictionSchema(): StructType

     

     Definition Classes

     H2OMOJOPredictionWordEmbedding

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

     

     Definition Classes

     H2OMOJOPredictionWordEmbedding

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

     

     Definition Classes

     Params

238. def hasParam(paramName: String): Boolean

     

     Definition Classes

     Params

239. def hasParent: Boolean

     

     Definition Classes

     Model

240. def hashCode(): Int

     

     Definition Classes

     AnyRef → Any

241. val hidden: IntArrayParam

     

     Attributes

     protected

242. val hiddenDropoutRatios: NullableDoubleArrayParam

     

     Attributes

     protected

243. val huberAlpha: DoubleParam

     

     Attributes

     protected

244. val ignoreConstCols: BooleanParam

     

     Attributes

     protected

245. val initialWeightDistribution: NullableStringParam

     

     Attributes

     protected

246. val initialWeightScale: DoubleParam

     

     Attributes

     protected

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

     

     Attributes

     protected

     Definition Classes

     Logging

248. def initializeLogIfNecessary(isInterpreter: Boolean): Unit

     

     Attributes

     protected

     Definition Classes

     Logging

249. def inputColumnNames: Array[String]

     

     Attributes

     protected

     Definition Classes

     H2OAlgorithmMOJOModel → H2OMOJOFlattenedInput

250. val inputDropoutRatio: DoubleParam

     

     Attributes

     protected

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

     

     Attributes

     protected

     Definition Classes

     ParameterConstructorMethods

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

     

     Attributes

     protected

     Definition Classes

     ParameterConstructorMethods

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

     

     Definition Classes

     Params

254. final def isInstanceOf[T0]: Boolean

     

     Definition Classes

     Any

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

     

     Definition Classes

     Params

256. def isTraceEnabled(): Boolean

     

     Attributes

     protected

     Definition Classes

     Logging

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

     

     Attributes

     protected

     Definition Classes

     H2OMOJOModelUtils

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

     

     Attributes

     protected

     Definition Classes

     H2OMOJOModelUtils

259. val keepCrossValidationFoldAssignment: BooleanParam

     

     Attributes

     protected

260. val keepCrossValidationModels: BooleanParam

     

     Attributes

     protected

261. val keepCrossValidationPredictions: BooleanParam

     

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     protected

262. val l1: DoubleParam

     

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263. val l2: DoubleParam

     

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264. val labelCol: Param[String]

     

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265. def log: Logger

     

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     Definition Classes

     Logging

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

     

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     Definition Classes

     Logging

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

     

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     Definition Classes

     Logging

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

     

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     Definition Classes

     Logging

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

     

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     Definition Classes

     Logging

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

     

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     Definition Classes

     Logging

271. def logInfo(msg: ⇒ String): Unit

     

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     protected

     Definition Classes

     Logging

272. def logName: String

     

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     protected

     Definition Classes

     Logging

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

     

     Attributes

     protected

     Definition Classes

     Logging

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

     

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     protected

     Definition Classes

     Logging

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

     

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     Definition Classes

     Logging

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

     

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     protected

     Definition Classes

     Logging

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

     

     Attributes

     protected

     Definition Classes

     ParameterConstructorMethods

278. val loss: NullableStringParam

     

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     protected

279. val maxAfterBalanceSize: FloatParam

     

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     protected

280. val maxCategoricalFeatures: IntParam

     

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281. val maxRuntimeSecs: DoubleParam

     

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282. val maxW2: FloatParam

     

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283. val miniBatchSize: IntParam

     

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284. val missingValuesHandling: NullableStringParam

     

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285. final val modelCategory: NullableStringParam

     

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     protected

     Definition Classes

     H2OMOJOModel

286. final val modelDetails: NullableStringParam

     

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     protected

     Definition Classes

     H2OMOJOModel

287. final val modelSummary: NullableDataFrameParam

     

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     Definition Classes

     H2OMOJOModel

288. val momentumRamp: DoubleParam

     

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289. val momentumStable: DoubleParam

     

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290. val momentumStart: DoubleParam

     

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291. final val namedMojoOutputColumns: Param[Boolean]

     

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     Definition Classes

     H2OAlgorithmMOJOParams

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

     

     Definition Classes

     AnyRef

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

     

     Attributes

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     Definition Classes

     H2OMOJOModelUtils

294. val nesterovAcceleratedGradient: BooleanParam

     

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295. val nfolds: IntParam

     

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296. val nonSerializableField: AnyRef

     

     Definition Classes

     H2OMOJOModel

297. final def notify(): Unit

     

     Definition Classes

     AnyRef

298. final def notifyAll(): Unit

     

     Definition Classes

     AnyRef

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

     

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     protected

     Definition Classes

     H2OMOJOModel

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

     

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     Definition Classes

     ParameterConstructorMethods

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

     

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     Definition Classes

     ParameterConstructorMethods

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

     

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     Definition Classes

     ParameterConstructorMethods

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

     

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     protected

     Definition Classes

     ParameterConstructorMethods

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

     

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     protected

     Definition Classes

     ParameterConstructorMethods

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

     

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     Definition Classes

     ParameterConstructorMethods

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

     

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     Definition Classes

     ParameterConstructorMethods

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

     

     Attributes

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     Definition Classes

     ParameterConstructorMethods

308. def outputColumnName: String

     

     Attributes

     protected

     Definition Classes

     H2OAlgorithmMOJOModel → H2OMOJOFlattenedInput

309. val overwriteWithBestModel: BooleanParam

     

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     protected

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

     

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     protected

     Definition Classes

     ParameterConstructorMethods

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

     

     Definition Classes

     Params

312. var parent: Estimator[H2OMOJOModel]

     

     Definition Classes

     Model

313. final val predictionCol: Param[String]

     

     Attributes

     protected

     Definition Classes

     H2OAlgorithmMOJOParams

314. val quantileAlpha: DoubleParam

     

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315. val quietMode: BooleanParam

     

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     protected

316. val rate: DoubleParam

     

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317. val rateAnnealing: DoubleParam

     

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318. val rateDecay: DoubleParam

     

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319. val regressionStop: DoubleParam

     

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320. val replicateTrainingData: BooleanParam

     

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321. val reproducible: BooleanParam

     

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322. val rho: DoubleParam

     

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323. final val runTime: LongParam

     

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     protected

     Definition Classes

     H2OMOJOModel

324. def save(path: String): Unit

     

     Definition Classes

     MLWritable

     Annotations

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

325. val scoreDutyCycle: DoubleParam

     

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     protected

326. val scoreEachIteration: BooleanParam

     

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327. val scoreInterval: DoubleParam

     

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     protected

328. val scoreTrainingSamples: LongParam

     

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329. val scoreValidationSamples: LongParam

     

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330. val scoreValidationSampling: NullableStringParam

     

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331. final val scoringHistory: NullableDataFrameParam

     

     Attributes

     protected

     Definition Classes

     H2OMOJOModel

332. val seed: LongParam

     

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     protected

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

     

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     Definition Classes

     Params

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

     

     Attributes

     protected

     Definition Classes

     Params

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

     

     Definition Classes

     Params

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

     

     Definition Classes

     H2OBaseMOJOParams

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

     

     Attributes

     protected

     Definition Classes

     Params

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

     

     Attributes

     protected

     Definition Classes

     Params

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

     

     Definition Classes

     HasMojo

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

     

     Definition Classes

     HasMojo

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

     

     Definition Classes

     HasMojo

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

     

     Definition Classes

     Model

343. val shuffleTrainingData: BooleanParam

     

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     protected

344. val singleNodeMode: BooleanParam

     

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     protected

345. val sparse: BooleanParam

     

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346. val sparsityBeta: DoubleParam

     

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347. val standardize: BooleanParam

     

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348. final val startTime: LongParam

     

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     Definition Classes

     H2OMOJOModel

349. val stoppingMetric: NullableStringParam

     

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350. val stoppingRounds: IntParam

     

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351. val stoppingTolerance: DoubleParam

     

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

     

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     Definition Classes

     ParameterConstructorMethods

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

     

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     Definition Classes

     ParameterConstructorMethods

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

     

     Definition Classes

     AnyRef

355. val targetRatioCommToComp: DoubleParam

     

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     protected

356. def toString(): String

     

     Definition Classes

     H2OMOJOModel → Identifiable → AnyRef → Any

357. val trainSamplesPerIteration: LongParam

     

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     protected

358. final val trainingMetrics: MapStringDoubleParam

     

     Attributes

     protected

     Definition Classes

     H2OMOJOModel

359. final val trainingMetricsObject: NullableMetricsParam

     

     Attributes

     protected

     Definition Classes

     H2OMOJOModel

360. final val trainingParams: MapStringStringParam

     

     Attributes

     protected

     Definition Classes

     H2OMOJOModel

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

     

     Definition Classes

     H2OAlgorithmMOJOModel → Transformer

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

     

     Definition Classes

     Transformer

     Annotations

     @Since( "2.0.0" )

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

     

     Definition Classes

     Transformer

     Annotations

     @Since( "2.0.0" ) @varargs()

364. def transformSchema(schema: StructType): StructType

     

     Definition Classes

     H2OSupervisedMOJOModel → H2OAlgorithmMOJOModel → PipelineStage

     Annotations

     @DeveloperApi()

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

     

     Attributes

     protected

     Definition Classes

     PipelineStage

     Annotations

     @DeveloperApi()

366. val tweediePower: DoubleParam

     

     Attributes

     protected

367. val uid: String

     

     Definition Classes

     H2ODeepLearningMOJOModel → H2OSupervisedMOJOModel → H2OAlgorithmMOJOModel → Identifiable

368. 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

369. val useAllFactorLevels: BooleanParam

     

     Attributes

     protected

370. final val validationMetrics: MapStringDoubleParam

     

     Attributes

     protected

     Definition Classes

     H2OMOJOModel

371. final val validationMetricsObject: NullableMetricsParam

     

     Attributes

     protected

     Definition Classes

     H2OMOJOModel

372. final def wait(): Unit

     

     Definition Classes

     AnyRef

     Annotations

     @throws( ... )

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

     

     Definition Classes

     AnyRef

     Annotations

     @throws( ... )

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

     

     Definition Classes

     AnyRef

     Annotations

     @throws( ... )

375. val weightCol: NullableStringParam

     

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     protected

376. final val withContributions: BooleanParam

     

     Attributes

     protected

     Definition Classes

     H2OAlgorithmMOJOParams

377. final val withLeafNodeAssignments: BooleanParam

     

     Attributes

     protected

     Definition Classes

     H2OAlgorithmMOJOParams

378. final val withStageResults: BooleanParam

     

     Attributes

     protected

     Definition Classes

     H2OAlgorithmMOJOParams

379. def write: MLWriter

     

     Definition Classes

     H2OMOJOWritable → MLWritable