t

ai.h2o.sparkling.ml.params

H2ODeepLearningParams

trait H2ODeepLearningParams extends H2OAlgoParamsBase with HasInitialBiases with HasInitialWeights with HasIgnoredCols

Linear Supertypes
HasIgnoredCols, HasInitialWeights, HasInitialBiases, H2OAlgoParamsBase, H2OFrameLifecycle, ParameterConstructorMethods, Params, Serializable, Serializable, Identifiable, AnyRef, Any
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Inherited
  1. H2ODeepLearningParams
  2. HasIgnoredCols
  3. HasInitialWeights
  4. HasInitialBiases
  5. H2OAlgoParamsBase
  6. H2OFrameLifecycle
  7. ParameterConstructorMethods
  8. Params
  9. Serializable
  10. Serializable
  11. Identifiable
  12. AnyRef
  13. 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. val customMetricFunc: NullableStringParam
    Attributes
    protected
  24. final def defaultCopy[T <: Params](extra: ParamMap): T
    Attributes
    protected
    Definition Classes
    Params
  25. val diagnostics: BooleanParam
    Attributes
    protected
  26. val distribution: Param[String]
    Attributes
    protected
  27. def doubleArrayParam(name: String, doc: String): DoubleArrayParam
    Attributes
    protected
    Definition Classes
    ParameterConstructorMethods
  28. def doubleParam(name: String, doc: String): org.apache.spark.ml.param.DoubleParam
    Attributes
    protected
    Definition Classes
    ParameterConstructorMethods
  29. val elasticAveraging: BooleanParam
    Attributes
    protected
  30. val elasticAveragingMovingRate: org.apache.spark.ml.param.DoubleParam
    Attributes
    protected
  31. val elasticAveragingRegularization: org.apache.spark.ml.param.DoubleParam
    Attributes
    protected
  32. val epochs: org.apache.spark.ml.param.DoubleParam
    Attributes
    protected
  33. val epsilon: org.apache.spark.ml.param.DoubleParam
    Attributes
    protected
  34. final def eq(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  35. def equals(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  36. def explainParam(param: Param[_]): String
    Definition Classes
    Params
  37. def explainParams(): String
    Definition Classes
    Params
  38. val exportCheckpointsDir: NullableStringParam
    Attributes
    protected
  39. val exportWeightsAndBiases: BooleanParam
    Attributes
    protected
  40. final def extractParamMap(): ParamMap
    Definition Classes
    Params
  41. final def extractParamMap(extra: ParamMap): ParamMap
    Definition Classes
    Params
  42. val fastMode: BooleanParam
    Attributes
    protected
  43. def finalize(): Unit
    Attributes
    protected[lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] )
  44. def floatParam(name: String, doc: String): FloatParam
    Attributes
    protected
    Definition Classes
    ParameterConstructorMethods
  45. val foldAssignment: Param[String]
    Attributes
    protected
  46. val foldCol: NullableStringParam
    Attributes
    protected
  47. val forceLoadBalance: BooleanParam
    Attributes
    protected
  48. val gainsliftBins: IntParam
    Attributes
    protected
  49. final def get[T](param: Param[T]): Option[T]
    Definition Classes
    Params
  50. def getActivation(): String
  51. def getAdaptiveRate(): Boolean
  52. def getAucType(): String
  53. def getAverageActivation(): Double
  54. def getBalanceClasses(): Boolean
  55. def getCalculateFeatureImportances(): Boolean
  56. def getCategoricalEncoding(): String
  57. final def getClass(): Class[_]
    Definition Classes
    AnyRef → Any
    Annotations
    @native()
  58. def getClassSamplingFactors(): Array[Float]
  59. def getClassificationStop(): Double
  60. def getCustomMetricFunc(): String
  61. final def getDefault[T](param: Param[T]): Option[T]
    Definition Classes
    Params
  62. def getDiagnostics(): Boolean
  63. def getDistribution(): String
  64. def getElasticAveraging(): Boolean
  65. def getElasticAveragingMovingRate(): Double
  66. def getElasticAveragingRegularization(): Double
  67. def getEpochs(): Double
  68. def getEpsilon(): Double
  69. def getExportCheckpointsDir(): String
  70. def getExportWeightsAndBiases(): Boolean
  71. def getFastMode(): Boolean
  72. def getFoldAssignment(): String
  73. def getFoldCol(): String
  74. def getForceLoadBalance(): Boolean
  75. def getGainsliftBins(): Int
  76. def getHidden(): Array[Int]
  77. def getHiddenDropoutRatios(): Array[Double]
  78. def getHuberAlpha(): Double
  79. def getIgnoreConstCols(): Boolean
  80. def getIgnoredCols(): Array[String]
    Definition Classes
    HasIgnoredCols
  81. def getInitialBiases(): Array[DenseVector]
    Definition Classes
    HasInitialBiases
  82. def getInitialWeightDistribution(): String
  83. def getInitialWeightScale(): Double
  84. def getInitialWeights(): Array[DenseMatrix]
    Definition Classes
    HasInitialWeights
  85. def getInputDropoutRatio(): Double
  86. def getKeepCrossValidationFoldAssignment(): Boolean
  87. def getKeepCrossValidationModels(): Boolean
  88. def getKeepCrossValidationPredictions(): Boolean
  89. def getL1(): Double
  90. def getL2(): Double
  91. def getLabelCol(): String
  92. def getLoss(): String
  93. def getMaxAfterBalanceSize(): Float
  94. def getMaxCategoricalFeatures(): Int
  95. def getMaxRuntimeSecs(): Double
  96. def getMaxW2(): Float
  97. def getMiniBatchSize(): Int
  98. def getMissingValuesHandling(): String
  99. def getModelId(): String
  100. def getMomentumRamp(): Double
  101. def getMomentumStable(): Double
  102. def getMomentumStart(): Double
  103. def getNesterovAcceleratedGradient(): Boolean
  104. def getNfolds(): Int
  105. def getOffsetCol(): String
  106. final def getOrDefault[T](param: Param[T]): T
    Definition Classes
    Params
  107. def getOverwriteWithBestModel(): Boolean
  108. def getParam(paramName: String): Param[Any]
    Definition Classes
    Params
  109. def getQuantileAlpha(): Double
  110. def getQuietMode(): Boolean
  111. def getRate(): Double
  112. def getRateAnnealing(): Double
  113. def getRateDecay(): Double
  114. def getRegressionStop(): Double
  115. def getReplicateTrainingData(): Boolean
  116. def getReproducible(): Boolean
  117. def getRho(): Double
  118. def getScoreDutyCycle(): Double
  119. def getScoreEachIteration(): Boolean
  120. def getScoreInterval(): Double
  121. def getScoreTrainingSamples(): Long
  122. def getScoreValidationSamples(): Long
  123. def getScoreValidationSampling(): String
  124. def getSeed(): Long
  125. def getShuffleTrainingData(): Boolean
  126. def getSingleNodeMode(): Boolean
  127. def getSparse(): Boolean
  128. def getSparsityBeta(): Double
  129. def getStandardize(): Boolean
  130. def getStoppingMetric(): String
  131. def getStoppingRounds(): Int
  132. def getStoppingTolerance(): Double
  133. def getTargetRatioCommToComp(): Double
  134. def getTrainSamplesPerIteration(): Long
  135. def getTweediePower(): Double
  136. def getUseAllFactorLevels(): Boolean
  137. def getWeightCol(): String
  138. final def hasDefault[T](param: Param[T]): Boolean
    Definition Classes
    Params
  139. def hasParam(paramName: String): Boolean
    Definition Classes
    Params
  140. def hashCode(): Int
    Definition Classes
    AnyRef → Any
    Annotations
    @native()
  141. val hidden: IntArrayParam
    Attributes
    protected
  142. val hiddenDropoutRatios: NullableDoubleArrayParam
    Attributes
    protected
  143. val huberAlpha: org.apache.spark.ml.param.DoubleParam
    Attributes
    protected
  144. val ignoreConstCols: BooleanParam
    Attributes
    protected
  145. val initialWeightDistribution: Param[String]
    Attributes
    protected
  146. val initialWeightScale: org.apache.spark.ml.param.DoubleParam
    Attributes
    protected
  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. val keepCrossValidationFoldAssignment: BooleanParam
    Attributes
    protected
  154. val keepCrossValidationModels: BooleanParam
    Attributes
    protected
  155. val keepCrossValidationPredictions: BooleanParam
    Attributes
    protected
  156. val l1: org.apache.spark.ml.param.DoubleParam
    Attributes
    protected
  157. val l2: org.apache.spark.ml.param.DoubleParam
    Attributes
    protected
  158. val labelCol: Param[String]
    Attributes
    protected
  159. def longParam(name: String, doc: String): LongParam
    Attributes
    protected
    Definition Classes
    ParameterConstructorMethods
  160. val loss: Param[String]
    Attributes
    protected
  161. val maxAfterBalanceSize: FloatParam
    Attributes
    protected
  162. val maxCategoricalFeatures: IntParam
    Attributes
    protected
  163. val maxRuntimeSecs: org.apache.spark.ml.param.DoubleParam
    Attributes
    protected
  164. val maxW2: FloatParam
    Attributes
    protected
  165. val miniBatchSize: IntParam
    Attributes
    protected
  166. val missingValuesHandling: Param[String]
    Attributes
    protected
  167. val modelId: NullableStringParam
    Attributes
    protected
  168. val momentumRamp: org.apache.spark.ml.param.DoubleParam
    Attributes
    protected
  169. val momentumStable: org.apache.spark.ml.param.DoubleParam
    Attributes
    protected
  170. val momentumStart: org.apache.spark.ml.param.DoubleParam
    Attributes
    protected
  171. final def ne(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  172. val nesterovAcceleratedGradient: BooleanParam
    Attributes
    protected
  173. val nfolds: IntParam
    Attributes
    protected
  174. final def notify(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native()
  175. final def notifyAll(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native()
  176. def nullableBooleanArrayParam(name: String, doc: String): NullableBooleanArrayParam
    Attributes
    protected
    Definition Classes
    ParameterConstructorMethods
  177. def nullableDoubleArrayArrayParam(name: String, doc: String): NullableDoubleArrayArrayParam
    Attributes
    protected
    Definition Classes
    ParameterConstructorMethods
  178. def nullableDoubleArrayParam(name: String, doc: String): NullableDoubleArrayParam
    Attributes
    protected
    Definition Classes
    ParameterConstructorMethods
  179. def nullableFloatArrayParam(name: String, doc: String): NullableFloatArrayParam
    Attributes
    protected
    Definition Classes
    ParameterConstructorMethods
  180. def nullableIntArrayParam(name: String, doc: String): NullableIntArrayParam
    Attributes
    protected
    Definition Classes
    ParameterConstructorMethods
  181. def nullableStringArrayArrayParam(name: String, doc: String): NullableStringArrayArrayParam
    Attributes
    protected
    Definition Classes
    ParameterConstructorMethods
  182. def nullableStringArrayParam(name: String, doc: String): NullableStringArrayParam
    Attributes
    protected
    Definition Classes
    ParameterConstructorMethods
  183. def nullableStringPairArrayParam(name: String, doc: String): NullableStringPairArrayParam
    Attributes
    protected
    Definition Classes
    ParameterConstructorMethods
  184. def nullableStringParam(name: String, doc: String): NullableStringParam
    Attributes
    protected
    Definition Classes
    ParameterConstructorMethods
  185. val offsetCol: NullableStringParam
    Attributes
    protected
  186. val overwriteWithBestModel: BooleanParam
    Attributes
    protected
  187. def param[T](name: String, doc: String): Param[T]
    Attributes
    protected
    Definition Classes
    ParameterConstructorMethods
  188. def paramTag: ClassTag[DeepLearningParameters]
    Attributes
    protected
  189. lazy val params: Array[Param[_]]
    Definition Classes
    Params
  190. val quantileAlpha: org.apache.spark.ml.param.DoubleParam
    Attributes
    protected
  191. val quietMode: BooleanParam
    Attributes
    protected
  192. val rate: org.apache.spark.ml.param.DoubleParam
    Attributes
    protected
  193. val rateAnnealing: org.apache.spark.ml.param.DoubleParam
    Attributes
    protected
  194. val rateDecay: org.apache.spark.ml.param.DoubleParam
    Attributes
    protected
  195. val regressionStop: org.apache.spark.ml.param.DoubleParam
    Attributes
    protected
  196. val replicateTrainingData: BooleanParam
    Attributes
    protected
  197. val reproducible: BooleanParam
    Attributes
    protected
  198. val rho: org.apache.spark.ml.param.DoubleParam
    Attributes
    protected
  199. val scoreDutyCycle: org.apache.spark.ml.param.DoubleParam
    Attributes
    protected
  200. val scoreEachIteration: BooleanParam
    Attributes
    protected
  201. val scoreInterval: org.apache.spark.ml.param.DoubleParam
    Attributes
    protected
  202. val scoreTrainingSamples: LongParam
    Attributes
    protected
  203. val scoreValidationSamples: LongParam
    Attributes
    protected
  204. val scoreValidationSampling: Param[String]
    Attributes
    protected
  205. val seed: LongParam
    Attributes
    protected
  206. final def set(paramPair: ParamPair[_]): H2ODeepLearningParams.this.type
    Attributes
    protected
    Definition Classes
    Params
  207. final def set(param: String, value: Any): H2ODeepLearningParams.this.type
    Attributes
    protected
    Definition Classes
    Params
  208. final def set[T](param: Param[T], value: T): H2ODeepLearningParams.this.type
    Definition Classes
    Params
  209. def setActivation(value: String): H2ODeepLearningParams.this.type
  210. def setAdaptiveRate(value: Boolean): H2ODeepLearningParams.this.type
  211. def setAucType(value: String): H2ODeepLearningParams.this.type
  212. def setAverageActivation(value: Double): H2ODeepLearningParams.this.type
  213. def setBalanceClasses(value: Boolean): H2ODeepLearningParams.this.type
  214. def setCalculateFeatureImportances(value: Boolean): H2ODeepLearningParams.this.type
  215. def setCategoricalEncoding(value: String): H2ODeepLearningParams.this.type
  216. def setClassSamplingFactors(value: Array[Float]): H2ODeepLearningParams.this.type
  217. def setClassificationStop(value: Double): H2ODeepLearningParams.this.type
  218. def setCustomMetricFunc(value: String): H2ODeepLearningParams.this.type
  219. final def setDefault(paramPairs: ParamPair[_]*): H2ODeepLearningParams.this.type
    Attributes
    protected
    Definition Classes
    Params
  220. final def setDefault[T](param: Param[T], value: T): H2ODeepLearningParams.this.type
    Attributes
    protected[org.apache.spark.ml]
    Definition Classes
    Params
  221. def setDiagnostics(value: Boolean): H2ODeepLearningParams.this.type
  222. def setDistribution(value: String): H2ODeepLearningParams.this.type
  223. def setElasticAveraging(value: Boolean): H2ODeepLearningParams.this.type
  224. def setElasticAveragingMovingRate(value: Double): H2ODeepLearningParams.this.type
  225. def setElasticAveragingRegularization(value: Double): H2ODeepLearningParams.this.type
  226. def setEpochs(value: Double): H2ODeepLearningParams.this.type
  227. def setEpsilon(value: Double): H2ODeepLearningParams.this.type
  228. def setExportCheckpointsDir(value: String): H2ODeepLearningParams.this.type
  229. def setExportWeightsAndBiases(value: Boolean): H2ODeepLearningParams.this.type
  230. def setFastMode(value: Boolean): H2ODeepLearningParams.this.type
  231. def setFoldAssignment(value: String): H2ODeepLearningParams.this.type
  232. def setFoldCol(value: String): H2ODeepLearningParams.this.type
  233. def setForceLoadBalance(value: Boolean): H2ODeepLearningParams.this.type
  234. def setGainsliftBins(value: Int): H2ODeepLearningParams.this.type
  235. def setHidden(value: Array[Int]): H2ODeepLearningParams.this.type
  236. def setHiddenDropoutRatios(value: Array[Double]): H2ODeepLearningParams.this.type
  237. def setHuberAlpha(value: Double): H2ODeepLearningParams.this.type
  238. def setIgnoreConstCols(value: Boolean): H2ODeepLearningParams.this.type
  239. def setIgnoredCols(value: Array[String]): H2ODeepLearningParams.this.type
    Definition Classes
    HasIgnoredCols
  240. def setInitialBiases(value: Array[DenseVector]): H2ODeepLearningParams.this.type
    Definition Classes
    HasInitialBiases
  241. def setInitialWeightDistribution(value: String): H2ODeepLearningParams.this.type
  242. def setInitialWeightScale(value: Double): H2ODeepLearningParams.this.type
  243. def setInitialWeights(value: Array[DenseMatrix]): H2ODeepLearningParams.this.type
    Definition Classes
    HasInitialWeights
  244. def setInputDropoutRatio(value: Double): H2ODeepLearningParams.this.type
  245. def setKeepCrossValidationFoldAssignment(value: Boolean): H2ODeepLearningParams.this.type
  246. def setKeepCrossValidationModels(value: Boolean): H2ODeepLearningParams.this.type
  247. def setKeepCrossValidationPredictions(value: Boolean): H2ODeepLearningParams.this.type
  248. def setL1(value: Double): H2ODeepLearningParams.this.type
  249. def setL2(value: Double): H2ODeepLearningParams.this.type
  250. def setLabelCol(value: String): H2ODeepLearningParams.this.type
  251. def setLoss(value: String): H2ODeepLearningParams.this.type
  252. def setMaxAfterBalanceSize(value: Float): H2ODeepLearningParams.this.type
  253. def setMaxCategoricalFeatures(value: Int): H2ODeepLearningParams.this.type
  254. def setMaxRuntimeSecs(value: Double): H2ODeepLearningParams.this.type
  255. def setMaxW2(value: Float): H2ODeepLearningParams.this.type
  256. def setMiniBatchSize(value: Int): H2ODeepLearningParams.this.type
  257. def setMissingValuesHandling(value: String): H2ODeepLearningParams.this.type
  258. def setModelId(value: String): H2ODeepLearningParams.this.type
  259. def setMomentumRamp(value: Double): H2ODeepLearningParams.this.type
  260. def setMomentumStable(value: Double): H2ODeepLearningParams.this.type
  261. def setMomentumStart(value: Double): H2ODeepLearningParams.this.type
  262. def setNesterovAcceleratedGradient(value: Boolean): H2ODeepLearningParams.this.type
  263. def setNfolds(value: Int): H2ODeepLearningParams.this.type
  264. def setOffsetCol(value: String): H2ODeepLearningParams.this.type
  265. def setOverwriteWithBestModel(value: Boolean): H2ODeepLearningParams.this.type
  266. def setQuantileAlpha(value: Double): H2ODeepLearningParams.this.type
  267. def setQuietMode(value: Boolean): H2ODeepLearningParams.this.type
  268. def setRate(value: Double): H2ODeepLearningParams.this.type
  269. def setRateAnnealing(value: Double): H2ODeepLearningParams.this.type
  270. def setRateDecay(value: Double): H2ODeepLearningParams.this.type
  271. def setRegressionStop(value: Double): H2ODeepLearningParams.this.type
  272. def setReplicateTrainingData(value: Boolean): H2ODeepLearningParams.this.type
  273. def setReproducible(value: Boolean): H2ODeepLearningParams.this.type
  274. def setRho(value: Double): H2ODeepLearningParams.this.type
  275. def setScoreDutyCycle(value: Double): H2ODeepLearningParams.this.type
  276. def setScoreEachIteration(value: Boolean): H2ODeepLearningParams.this.type
  277. def setScoreInterval(value: Double): H2ODeepLearningParams.this.type
  278. def setScoreTrainingSamples(value: Long): H2ODeepLearningParams.this.type
  279. def setScoreValidationSamples(value: Long): H2ODeepLearningParams.this.type
  280. def setScoreValidationSampling(value: String): H2ODeepLearningParams.this.type
  281. def setSeed(value: Long): H2ODeepLearningParams.this.type
  282. def setShuffleTrainingData(value: Boolean): H2ODeepLearningParams.this.type
  283. def setSingleNodeMode(value: Boolean): H2ODeepLearningParams.this.type
  284. def setSparse(value: Boolean): H2ODeepLearningParams.this.type
  285. def setSparsityBeta(value: Double): H2ODeepLearningParams.this.type
  286. def setStandardize(value: Boolean): H2ODeepLearningParams.this.type
  287. def setStoppingMetric(value: String): H2ODeepLearningParams.this.type
  288. def setStoppingRounds(value: Int): H2ODeepLearningParams.this.type
  289. def setStoppingTolerance(value: Double): H2ODeepLearningParams.this.type
  290. def setTargetRatioCommToComp(value: Double): H2ODeepLearningParams.this.type
  291. def setTrainSamplesPerIteration(value: Long): H2ODeepLearningParams.this.type
  292. def setTweediePower(value: Double): H2ODeepLearningParams.this.type
  293. def setUseAllFactorLevels(value: Boolean): H2ODeepLearningParams.this.type
  294. def setWeightCol(value: String): H2ODeepLearningParams.this.type
  295. val shuffleTrainingData: BooleanParam
    Attributes
    protected
  296. val singleNodeMode: BooleanParam
    Attributes
    protected
  297. val sparse: BooleanParam
    Attributes
    protected
  298. val sparsityBeta: org.apache.spark.ml.param.DoubleParam
    Attributes
    protected
  299. val standardize: BooleanParam
    Attributes
    protected
  300. val stoppingMetric: Param[String]
    Attributes
    protected
  301. val stoppingRounds: IntParam
    Attributes
    protected
  302. val stoppingTolerance: org.apache.spark.ml.param.DoubleParam
    Attributes
    protected
  303. def stringArrayParam(name: String, doc: String): StringArrayParam
    Attributes
    protected
    Definition Classes
    ParameterConstructorMethods
  304. def stringParam(name: String, doc: String): Param[String]
    Attributes
    protected
    Definition Classes
    ParameterConstructorMethods
  305. final def synchronized[T0](arg0: ⇒ T0): T0
    Definition Classes
    AnyRef
  306. val targetRatioCommToComp: org.apache.spark.ml.param.DoubleParam
    Attributes
    protected
  307. def toString(): String
    Definition Classes
    Identifiable → AnyRef → Any
  308. val trainSamplesPerIteration: LongParam
    Attributes
    protected
  309. val tweediePower: org.apache.spark.ml.param.DoubleParam
    Attributes
    protected
  310. val useAllFactorLevels: BooleanParam
    Attributes
    protected
  311. final def wait(): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  312. final def wait(arg0: Long, arg1: Int): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  313. final def wait(arg0: Long): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... ) @native()
  314. val weightCol: NullableStringParam
    Attributes
    protected

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