t

ai.h2o.sparkling.ml.params

H2ODeepLearningParams

trait H2ODeepLearningParams extends H2OAlgoParamsBase with HasInitialBiases with HasInitialWeights with HasIgnoredCols with HasDeprecatedVariableImportances with HasDeprecatedAutoencoder

Linear Supertypes
HasDeprecatedAutoencoder, HasDeprecatedVariableImportances, Logging, Logging, HasIgnoredCols, HasInitialWeights, HasInitialBiases, H2OAlgoParamsBase, H2OFrameLifecycle, ParameterConstructorMethods, Params, Serializable, Serializable, Identifiable, AnyRef, Any
Known Subclasses
H2ODeepLearning, H2ODeepLearningClassifier, H2ODeepLearningRegressor
Ordering
  1. Alphabetic
  2. By Inheritance
Inherited
  1. H2ODeepLearningParams
  2. HasDeprecatedAutoencoder
  3. HasDeprecatedVariableImportances
  4. Logging
  5. Logging
  6. HasIgnoredCols
  7. HasInitialWeights
  8. HasInitialBiases
  9. H2OAlgoParamsBase
  10. H2OFrameLifecycle
  11. ParameterConstructorMethods
  12. Params
  13. Serializable
  14. Serializable
  15. Identifiable
  16. AnyRef
  17. Any
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Visibility
  1. Public
  2. All

Type Members

  1. implicit class ParametersExtraMethods extends AnyRef
    Definition Classes
    H2OAlgoParamsBase

Abstract Value Members

  1. abstract def copy(extra: ParamMap): Params
    Definition Classes
    Params
  2. abstract val uid: String
    Definition Classes
    Identifiable

Concrete 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: Param[String]
    Attributes
    protected
  6. val adaptiveRate: BooleanParam
    Attributes
    protected
  7. final def asInstanceOf[T0]: T0
    Definition Classes
    Any
  8. val aucType: Param[String]
    Attributes
    protected
  9. val averageActivation: org.apache.spark.ml.param.DoubleParam
    Attributes
    protected
  10. val balanceClasses: BooleanParam
    Attributes
    protected
  11. def booleanParam(name: String, doc: String): BooleanParam
    Attributes
    protected
    Definition Classes
    ParameterConstructorMethods
  12. val calculateFeatureImportances: BooleanParam
    Attributes
    protected
  13. val categoricalEncoding: Param[String]
    Attributes
    protected
  14. val classSamplingFactors: NullableFloatArrayParam
    Attributes
    protected
  15. val classificationStop: org.apache.spark.ml.param.DoubleParam
    Attributes
    protected
  16. final def clear(param: Param[_]): H2ODeepLearningParams.this.type
    Definition Classes
    Params
  17. def clone(): AnyRef
    Attributes
    protected[lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( ... ) @native()
  18. def convert2dArrayToH2OFrame(input: Array[Array[Double]]): String
    Attributes
    protected
    Definition Classes
    H2OAlgoParamsBase
  19. def convertDataFrameToH2OFrameKey(dataFrame: DataFrame): String
    Attributes
    protected
    Definition Classes
    H2OAlgoParamsBase
  20. def convertMatrixToH2OFrameKeyArray(matrix: Array[DenseMatrix]): Array[String]
    Attributes
    protected
    Definition Classes
    H2OAlgoParamsBase
  21. def convertVectorArrayToH2OFrameKeyArray(vectors: Array[DenseVector]): Array[String]
    Attributes
    protected
    Definition Classes
    H2OAlgoParamsBase
  22. def copyValues[T <: Params](to: T, extra: ParamMap): T
    Attributes
    protected
    Definition Classes
    Params
  23. final def defaultCopy[T <: Params](extra: ParamMap): T
    Attributes
    protected
    Definition Classes
    Params
  24. val diagnostics: BooleanParam
    Attributes
    protected
  25. val distribution: Param[String]
    Attributes
    protected
  26. def doubleArrayParam(name: String, doc: String): DoubleArrayParam
    Attributes
    protected
    Definition Classes
    ParameterConstructorMethods
  27. def doubleParam(name: String, doc: String): org.apache.spark.ml.param.DoubleParam
    Attributes
    protected
    Definition Classes
    ParameterConstructorMethods
  28. val elasticAveraging: BooleanParam
    Attributes
    protected
  29. val elasticAveragingMovingRate: org.apache.spark.ml.param.DoubleParam
    Attributes
    protected
  30. val elasticAveragingRegularization: org.apache.spark.ml.param.DoubleParam
    Attributes
    protected
  31. val epochs: org.apache.spark.ml.param.DoubleParam
    Attributes
    protected
  32. val epsilon: org.apache.spark.ml.param.DoubleParam
    Attributes
    protected
  33. final def eq(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  34. def equals(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  35. def explainParam(param: Param[_]): String
    Definition Classes
    Params
  36. def explainParams(): String
    Definition Classes
    Params
  37. val exportCheckpointsDir: NullableStringParam
    Attributes
    protected
  38. val exportWeightsAndBiases: BooleanParam
    Attributes
    protected
  39. final def extractParamMap(): ParamMap
    Definition Classes
    Params
  40. final def extractParamMap(extra: ParamMap): ParamMap
    Definition Classes
    Params
  41. val fastMode: BooleanParam
    Attributes
    protected
  42. def finalize(): Unit
    Attributes
    protected[lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] )
  43. def floatParam(name: String, doc: String): FloatParam
    Attributes
    protected
    Definition Classes
    ParameterConstructorMethods
  44. val foldAssignment: Param[String]
    Attributes
    protected
  45. val foldCol: NullableStringParam
    Attributes
    protected
  46. val forceLoadBalance: BooleanParam
    Attributes
    protected
  47. final def get[T](param: Param[T]): Option[T]
    Definition Classes
    Params
  48. def getActivation(): String
  49. def getAdaptiveRate(): Boolean
  50. def getAucType(): String
  51. def getAutoencoder(): Boolean
    Definition Classes
    HasDeprecatedAutoencoder
    Annotations
    @DeprecatedMethod( x$2 , x$1 )
  52. def getAverageActivation(): Double
  53. def getBalanceClasses(): Boolean
  54. def getCalculateFeatureImportances(): Boolean
    Definition Classes
    H2ODeepLearningParams → HasDeprecatedVariableImportances
  55. def getCategoricalEncoding(): String
  56. final def getClass(): Class[_]
    Definition Classes
    AnyRef → Any
    Annotations
    @native()
  57. def getClassSamplingFactors(): Array[Float]
  58. def getClassificationStop(): Double
  59. final def getDefault[T](param: Param[T]): Option[T]
    Definition Classes
    Params
  60. def getDiagnostics(): Boolean
  61. def getDistribution(): String
  62. def getElasticAveraging(): Boolean
  63. def getElasticAveragingMovingRate(): Double
  64. def getElasticAveragingRegularization(): Double
  65. def getEpochs(): Double
  66. def getEpsilon(): Double
  67. def getExportCheckpointsDir(): String
  68. def getExportWeightsAndBiases(): Boolean
  69. def getFastMode(): Boolean
  70. def getFoldAssignment(): String
  71. def getFoldCol(): String
  72. def getForceLoadBalance(): Boolean
  73. def getHidden(): Array[Int]
  74. def getHiddenDropoutRatios(): Array[Double]
  75. def getHuberAlpha(): Double
  76. def getIgnoreConstCols(): Boolean
  77. def getIgnoredCols(): Array[String]
    Definition Classes
    HasIgnoredCols
  78. def getInitialBiases(): Array[DenseVector]
    Definition Classes
    HasInitialBiases
  79. def getInitialWeightDistribution(): String
  80. def getInitialWeightScale(): Double
  81. def getInitialWeights(): Array[DenseMatrix]
    Definition Classes
    HasInitialWeights
  82. def getInputDropoutRatio(): Double
  83. def getKeepCrossValidationFoldAssignment(): Boolean
  84. def getKeepCrossValidationModels(): Boolean
  85. def getKeepCrossValidationPredictions(): Boolean
  86. def getL1(): Double
  87. def getL2(): Double
  88. def getLabelCol(): String
  89. def getLoss(): String
  90. def getMaxAfterBalanceSize(): Float
  91. def getMaxCategoricalFeatures(): Int
  92. def getMaxRuntimeSecs(): Double
  93. def getMaxW2(): Float
  94. def getMiniBatchSize(): Int
  95. def getMissingValuesHandling(): String
  96. def getModelId(): String
  97. def getMomentumRamp(): Double
  98. def getMomentumStable(): Double
  99. def getMomentumStart(): Double
  100. def getNesterovAcceleratedGradient(): Boolean
  101. def getNfolds(): Int
  102. def getOffsetCol(): String
  103. final def getOrDefault[T](param: Param[T]): T
    Definition Classes
    Params
  104. def getOverwriteWithBestModel(): Boolean
  105. def getParam(paramName: String): Param[Any]
    Definition Classes
    Params
  106. def getQuantileAlpha(): Double
  107. def getQuietMode(): Boolean
  108. def getRate(): Double
  109. def getRateAnnealing(): Double
  110. def getRateDecay(): Double
  111. def getRegressionStop(): Double
  112. def getReplicateTrainingData(): Boolean
  113. def getReproducible(): Boolean
  114. def getRho(): Double
  115. def getScoreDutyCycle(): Double
  116. def getScoreEachIteration(): Boolean
  117. def getScoreInterval(): Double
  118. def getScoreTrainingSamples(): Long
  119. def getScoreValidationSamples(): Long
  120. def getScoreValidationSampling(): String
  121. def getSeed(): Long
  122. def getShuffleTrainingData(): Boolean
  123. def getSingleNodeMode(): Boolean
  124. def getSparse(): Boolean
  125. def getSparsityBeta(): Double
  126. def getStandardize(): Boolean
  127. def getStoppingMetric(): String
  128. def getStoppingRounds(): Int
  129. def getStoppingTolerance(): Double
  130. def getTargetRatioCommToComp(): Double
  131. def getTrainSamplesPerIteration(): Long
  132. def getTweediePower(): Double
  133. def getUseAllFactorLevels(): Boolean
  134. def getVariableImportances(): Boolean
    Definition Classes
    HasDeprecatedVariableImportances
    Annotations
    @DeprecatedMethod( "getCalculateFeatureImportances" , "3.36" )
  135. def getWeightCol(): String
  136. final def hasDefault[T](param: Param[T]): Boolean
    Definition Classes
    Params
  137. def hasParam(paramName: String): Boolean
    Definition Classes
    Params
  138. def hashCode(): Int
    Definition Classes
    AnyRef → Any
    Annotations
    @native()
  139. val hidden: IntArrayParam
    Attributes
    protected
  140. val hiddenDropoutRatios: NullableDoubleArrayParam
    Attributes
    protected
  141. val huberAlpha: org.apache.spark.ml.param.DoubleParam
    Attributes
    protected
  142. val ignoreConstCols: BooleanParam
    Attributes
    protected
  143. val initialWeightDistribution: Param[String]
    Attributes
    protected
  144. val initialWeightScale: org.apache.spark.ml.param.DoubleParam
    Attributes
    protected
  145. def initializeLogIfNecessary(isInterpreter: Boolean, silent: Boolean): Boolean
    Attributes
    protected
    Definition Classes
    Logging
  146. def initializeLogIfNecessary(isInterpreter: Boolean): Unit
    Attributes
    protected
    Definition Classes
    Logging
  147. val inputDropoutRatio: org.apache.spark.ml.param.DoubleParam
    Attributes
    protected
  148. def intArrayParam(name: String, doc: String): IntArrayParam
    Attributes
    protected
    Definition Classes
    ParameterConstructorMethods
  149. def intParam(name: String, doc: String): IntParam
    Attributes
    protected
    Definition Classes
    ParameterConstructorMethods
  150. final def isDefined(param: Param[_]): Boolean
    Definition Classes
    Params
  151. final def isInstanceOf[T0]: Boolean
    Definition Classes
    Any
  152. final def isSet(param: Param[_]): Boolean
    Definition Classes
    Params
  153. def isTraceEnabled(): Boolean
    Attributes
    protected
    Definition Classes
    Logging
  154. val keepCrossValidationFoldAssignment: BooleanParam
    Attributes
    protected
  155. val keepCrossValidationModels: BooleanParam
    Attributes
    protected
  156. val keepCrossValidationPredictions: BooleanParam
    Attributes
    protected
  157. val l1: org.apache.spark.ml.param.DoubleParam
    Attributes
    protected
  158. val l2: org.apache.spark.ml.param.DoubleParam
    Attributes
    protected
  159. val labelCol: Param[String]
    Attributes
    protected
  160. def log: Logger
    Attributes
    protected
    Definition Classes
    Logging
  161. def logDebug(msg: ⇒ String, throwable: Throwable): Unit
    Attributes
    protected
    Definition Classes
    Logging
  162. def logDebug(msg: ⇒ String): Unit
    Attributes
    protected
    Definition Classes
    Logging
  163. def logError(msg: ⇒ String, throwable: Throwable): Unit
    Attributes
    protected
    Definition Classes
    Logging
  164. def logError(msg: ⇒ String): Unit
    Attributes
    protected
    Definition Classes
    Logging
  165. def logInfo(msg: ⇒ String, throwable: Throwable): Unit
    Attributes
    protected
    Definition Classes
    Logging
  166. def logInfo(msg: ⇒ String): Unit
    Attributes
    protected
    Definition Classes
    Logging
  167. def logName: String
    Attributes
    protected
    Definition Classes
    Logging
  168. def logTrace(msg: ⇒ String, throwable: Throwable): Unit
    Attributes
    protected
    Definition Classes
    Logging
  169. def logTrace(msg: ⇒ String): Unit
    Attributes
    protected
    Definition Classes
    Logging
  170. def logWarning(msg: ⇒ String, throwable: Throwable): Unit
    Attributes
    protected
    Definition Classes
    Logging
  171. def logWarning(msg: ⇒ String): Unit
    Attributes
    protected
    Definition Classes
    Logging
  172. def longParam(name: String, doc: String): LongParam
    Attributes
    protected
    Definition Classes
    ParameterConstructorMethods
  173. val loss: Param[String]
    Attributes
    protected
  174. val maxAfterBalanceSize: FloatParam
    Attributes
    protected
  175. val maxCategoricalFeatures: IntParam
    Attributes
    protected
  176. val maxRuntimeSecs: org.apache.spark.ml.param.DoubleParam
    Attributes
    protected
  177. val maxW2: FloatParam
    Attributes
    protected
  178. val miniBatchSize: IntParam
    Attributes
    protected
  179. val missingValuesHandling: Param[String]
    Attributes
    protected
  180. val modelId: NullableStringParam
    Attributes
    protected
  181. val momentumRamp: org.apache.spark.ml.param.DoubleParam
    Attributes
    protected
  182. val momentumStable: org.apache.spark.ml.param.DoubleParam
    Attributes
    protected
  183. val momentumStart: org.apache.spark.ml.param.DoubleParam
    Attributes
    protected
  184. final def ne(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  185. val nesterovAcceleratedGradient: BooleanParam
    Attributes
    protected
  186. val nfolds: IntParam
    Attributes
    protected
  187. final def notify(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native()
  188. final def notifyAll(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native()
  189. def nullableDoubleArrayArrayParam(name: String, doc: String): NullableDoubleArrayArrayParam
    Attributes
    protected
    Definition Classes
    ParameterConstructorMethods
  190. def nullableDoubleArrayParam(name: String, doc: String): NullableDoubleArrayParam
    Attributes
    protected
    Definition Classes
    ParameterConstructorMethods
  191. def nullableFloatArrayParam(name: String, doc: String): NullableFloatArrayParam
    Attributes
    protected
    Definition Classes
    ParameterConstructorMethods
  192. def nullableIntArrayParam(name: String, doc: String): NullableIntArrayParam
    Attributes
    protected
    Definition Classes
    ParameterConstructorMethods
  193. def nullableStringArrayArrayParam(name: String, doc: String): NullableStringArrayArrayParam
    Attributes
    protected
    Definition Classes
    ParameterConstructorMethods
  194. def nullableStringArrayParam(name: String, doc: String): NullableStringArrayParam
    Attributes
    protected
    Definition Classes
    ParameterConstructorMethods
  195. def nullableStringPairArrayParam(name: String, doc: String): NullableStringPairArrayParam
    Attributes
    protected
    Definition Classes
    ParameterConstructorMethods
  196. def nullableStringParam(name: String, doc: String): NullableStringParam
    Attributes
    protected
    Definition Classes
    ParameterConstructorMethods
  197. val offsetCol: NullableStringParam
    Attributes
    protected
  198. val overwriteWithBestModel: BooleanParam
    Attributes
    protected
  199. def param[T](name: String, doc: String): Param[T]
    Attributes
    protected
    Definition Classes
    ParameterConstructorMethods
  200. def paramTag: ClassTag[DeepLearningParameters]
    Attributes
    protected
  201. lazy val params: Array[Param[_]]
    Definition Classes
    Params
  202. val quantileAlpha: org.apache.spark.ml.param.DoubleParam
    Attributes
    protected
  203. val quietMode: BooleanParam
    Attributes
    protected
  204. val rate: org.apache.spark.ml.param.DoubleParam
    Attributes
    protected
  205. val rateAnnealing: org.apache.spark.ml.param.DoubleParam
    Attributes
    protected
  206. val rateDecay: org.apache.spark.ml.param.DoubleParam
    Attributes
    protected
  207. val regressionStop: org.apache.spark.ml.param.DoubleParam
    Attributes
    protected
  208. val replicateTrainingData: BooleanParam
    Attributes
    protected
  209. val reproducible: BooleanParam
    Attributes
    protected
  210. val rho: org.apache.spark.ml.param.DoubleParam
    Attributes
    protected
  211. val scoreDutyCycle: org.apache.spark.ml.param.DoubleParam
    Attributes
    protected
  212. val scoreEachIteration: BooleanParam
    Attributes
    protected
  213. val scoreInterval: org.apache.spark.ml.param.DoubleParam
    Attributes
    protected
  214. val scoreTrainingSamples: LongParam
    Attributes
    protected
  215. val scoreValidationSamples: LongParam
    Attributes
    protected
  216. val scoreValidationSampling: Param[String]
    Attributes
    protected
  217. val seed: LongParam
    Attributes
    protected
  218. final def set(paramPair: ParamPair[_]): H2ODeepLearningParams.this.type
    Attributes
    protected
    Definition Classes
    Params
  219. final def set(param: String, value: Any): H2ODeepLearningParams.this.type
    Attributes
    protected
    Definition Classes
    Params
  220. final def set[T](param: Param[T], value: T): H2ODeepLearningParams.this.type
    Definition Classes
    Params
  221. def setActivation(value: String): H2ODeepLearningParams.this.type
  222. def setAdaptiveRate(value: Boolean): H2ODeepLearningParams.this.type
  223. def setAucType(value: String): H2ODeepLearningParams.this.type
  224. def setAutoencoder(value: Boolean): H2ODeepLearningParams.this.type
    Definition Classes
    HasDeprecatedAutoencoder
    Annotations
    @DeprecatedMethod( x$4 , x$3 )
  225. def setAverageActivation(value: Double): H2ODeepLearningParams.this.type
  226. def setBalanceClasses(value: Boolean): H2ODeepLearningParams.this.type
  227. def setCalculateFeatureImportances(value: Boolean): H2ODeepLearningParams.this.type
    Definition Classes
    H2ODeepLearningParams → HasDeprecatedVariableImportances
  228. def setCategoricalEncoding(value: String): H2ODeepLearningParams.this.type
  229. def setClassSamplingFactors(value: Array[Float]): H2ODeepLearningParams.this.type
  230. def setClassificationStop(value: Double): H2ODeepLearningParams.this.type
  231. final def setDefault(paramPairs: ParamPair[_]*): H2ODeepLearningParams.this.type
    Attributes
    protected
    Definition Classes
    Params
  232. final def setDefault[T](param: Param[T], value: T): H2ODeepLearningParams.this.type
    Attributes
    protected
    Definition Classes
    Params
  233. def setDiagnostics(value: Boolean): H2ODeepLearningParams.this.type
  234. def setDistribution(value: String): H2ODeepLearningParams.this.type
  235. def setElasticAveraging(value: Boolean): H2ODeepLearningParams.this.type
  236. def setElasticAveragingMovingRate(value: Double): H2ODeepLearningParams.this.type
  237. def setElasticAveragingRegularization(value: Double): H2ODeepLearningParams.this.type
  238. def setEpochs(value: Double): H2ODeepLearningParams.this.type
  239. def setEpsilon(value: Double): H2ODeepLearningParams.this.type
  240. def setExportCheckpointsDir(value: String): H2ODeepLearningParams.this.type
  241. def setExportWeightsAndBiases(value: Boolean): H2ODeepLearningParams.this.type
  242. def setFastMode(value: Boolean): H2ODeepLearningParams.this.type
  243. def setFoldAssignment(value: String): H2ODeepLearningParams.this.type
  244. def setFoldCol(value: String): H2ODeepLearningParams.this.type
  245. def setForceLoadBalance(value: Boolean): H2ODeepLearningParams.this.type
  246. def setHidden(value: Array[Int]): H2ODeepLearningParams.this.type
  247. def setHiddenDropoutRatios(value: Array[Double]): H2ODeepLearningParams.this.type
  248. def setHuberAlpha(value: Double): H2ODeepLearningParams.this.type
  249. def setIgnoreConstCols(value: Boolean): H2ODeepLearningParams.this.type
  250. def setIgnoredCols(value: Array[String]): H2ODeepLearningParams.this.type
    Definition Classes
    HasIgnoredCols
  251. def setInitialBiases(value: Array[DenseVector]): H2ODeepLearningParams.this.type
    Definition Classes
    HasInitialBiases
  252. def setInitialWeightDistribution(value: String): H2ODeepLearningParams.this.type
  253. def setInitialWeightScale(value: Double): H2ODeepLearningParams.this.type
  254. def setInitialWeights(value: Array[DenseMatrix]): H2ODeepLearningParams.this.type
    Definition Classes
    HasInitialWeights
  255. def setInputDropoutRatio(value: Double): H2ODeepLearningParams.this.type
  256. def setKeepCrossValidationFoldAssignment(value: Boolean): H2ODeepLearningParams.this.type
  257. def setKeepCrossValidationModels(value: Boolean): H2ODeepLearningParams.this.type
  258. def setKeepCrossValidationPredictions(value: Boolean): H2ODeepLearningParams.this.type
  259. def setL1(value: Double): H2ODeepLearningParams.this.type
  260. def setL2(value: Double): H2ODeepLearningParams.this.type
  261. def setLabelCol(value: String): H2ODeepLearningParams.this.type
  262. def setLoss(value: String): H2ODeepLearningParams.this.type
  263. def setMaxAfterBalanceSize(value: Float): H2ODeepLearningParams.this.type
  264. def setMaxCategoricalFeatures(value: Int): H2ODeepLearningParams.this.type
  265. def setMaxRuntimeSecs(value: Double): H2ODeepLearningParams.this.type
  266. def setMaxW2(value: Float): H2ODeepLearningParams.this.type
  267. def setMiniBatchSize(value: Int): H2ODeepLearningParams.this.type
  268. def setMissingValuesHandling(value: String): H2ODeepLearningParams.this.type
  269. def setModelId(value: String): H2ODeepLearningParams.this.type
  270. def setMomentumRamp(value: Double): H2ODeepLearningParams.this.type
  271. def setMomentumStable(value: Double): H2ODeepLearningParams.this.type
  272. def setMomentumStart(value: Double): H2ODeepLearningParams.this.type
  273. def setNesterovAcceleratedGradient(value: Boolean): H2ODeepLearningParams.this.type
  274. def setNfolds(value: Int): H2ODeepLearningParams.this.type
  275. def setOffsetCol(value: String): H2ODeepLearningParams.this.type
  276. def setOverwriteWithBestModel(value: Boolean): H2ODeepLearningParams.this.type
  277. def setQuantileAlpha(value: Double): H2ODeepLearningParams.this.type
  278. def setQuietMode(value: Boolean): H2ODeepLearningParams.this.type
  279. def setRate(value: Double): H2ODeepLearningParams.this.type
  280. def setRateAnnealing(value: Double): H2ODeepLearningParams.this.type
  281. def setRateDecay(value: Double): H2ODeepLearningParams.this.type
  282. def setRegressionStop(value: Double): H2ODeepLearningParams.this.type
  283. def setReplicateTrainingData(value: Boolean): H2ODeepLearningParams.this.type
  284. def setReproducible(value: Boolean): H2ODeepLearningParams.this.type
  285. def setRho(value: Double): H2ODeepLearningParams.this.type
  286. def setScoreDutyCycle(value: Double): H2ODeepLearningParams.this.type
  287. def setScoreEachIteration(value: Boolean): H2ODeepLearningParams.this.type
  288. def setScoreInterval(value: Double): H2ODeepLearningParams.this.type
  289. def setScoreTrainingSamples(value: Long): H2ODeepLearningParams.this.type
  290. def setScoreValidationSamples(value: Long): H2ODeepLearningParams.this.type
  291. def setScoreValidationSampling(value: String): H2ODeepLearningParams.this.type
  292. def setSeed(value: Long): H2ODeepLearningParams.this.type
  293. def setShuffleTrainingData(value: Boolean): H2ODeepLearningParams.this.type
  294. def setSingleNodeMode(value: Boolean): H2ODeepLearningParams.this.type
  295. def setSparse(value: Boolean): H2ODeepLearningParams.this.type
  296. def setSparsityBeta(value: Double): H2ODeepLearningParams.this.type
  297. def setStandardize(value: Boolean): H2ODeepLearningParams.this.type
  298. def setStoppingMetric(value: String): H2ODeepLearningParams.this.type
  299. def setStoppingRounds(value: Int): H2ODeepLearningParams.this.type
  300. def setStoppingTolerance(value: Double): H2ODeepLearningParams.this.type
  301. def setTargetRatioCommToComp(value: Double): H2ODeepLearningParams.this.type
  302. def setTrainSamplesPerIteration(value: Long): H2ODeepLearningParams.this.type
  303. def setTweediePower(value: Double): H2ODeepLearningParams.this.type
  304. def setUseAllFactorLevels(value: Boolean): H2ODeepLearningParams.this.type
  305. def setVariableImportances(value: Boolean): H2ODeepLearningParams.this.type
    Definition Classes
    HasDeprecatedVariableImportances
    Annotations
    @DeprecatedMethod( "setCalculateFeatureImportances" , "3.36" )
  306. def setWeightCol(value: String): H2ODeepLearningParams.this.type
  307. val shuffleTrainingData: BooleanParam
    Attributes
    protected
  308. val singleNodeMode: BooleanParam
    Attributes
    protected
  309. val sparse: BooleanParam
    Attributes
    protected
  310. val sparsityBeta: org.apache.spark.ml.param.DoubleParam
    Attributes
    protected
  311. val standardize: BooleanParam
    Attributes
    protected
  312. val stoppingMetric: Param[String]
    Attributes
    protected
  313. val stoppingRounds: IntParam
    Attributes
    protected
  314. val stoppingTolerance: org.apache.spark.ml.param.DoubleParam
    Attributes
    protected
  315. def stringArrayParam(name: String, doc: String): StringArrayParam
    Attributes
    protected
    Definition Classes
    ParameterConstructorMethods
  316. def stringParam(name: String, doc: String): Param[String]
    Attributes
    protected
    Definition Classes
    ParameterConstructorMethods
  317. final def synchronized[T0](arg0: ⇒ T0): T0
    Definition Classes
    AnyRef
  318. val targetRatioCommToComp: org.apache.spark.ml.param.DoubleParam
    Attributes
    protected
  319. def toString(): String
    Definition Classes
    Identifiable → AnyRef → Any
  320. val trainSamplesPerIteration: LongParam
    Attributes
    protected
  321. val tweediePower: org.apache.spark.ml.param.DoubleParam
    Attributes
    protected
  322. val useAllFactorLevels: BooleanParam
    Attributes
    protected
  323. final def wait(): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  324. final def wait(arg0: Long, arg1: Int): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  325. final def wait(arg0: Long): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... ) @native()
  326. val weightCol: NullableStringParam
    Attributes
    protected

Inherited from HasDeprecatedAutoencoder

Inherited from HasDeprecatedVariableImportances

Inherited from Logging

Inherited from Logging

Inherited from HasIgnoredCols

Inherited from HasInitialWeights

Inherited from HasInitialBiases

Inherited from H2OAlgoParamsBase

Inherited from H2OFrameLifecycle

Inherited from ParameterConstructorMethods

Inherited from Params

Inherited from Serializable

Inherited from Serializable

Inherited from Identifiable

Inherited from AnyRef

Inherited from Any

Ungrouped