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
Known Subclasses
H2ODeepLearning, H2ODeepLearningClassifier, H2ODeepLearningRegressor
Ordering
  1. Alphabetic
  2. By Inheritance
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
  1. Hide All
  2. Show All
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. final def get[T](param: Param[T]): Option[T]
    Definition Classes
    Params
  49. def getActivation(): String
  50. def getAdaptiveRate(): Boolean
  51. def getAucType(): String
  52. def getAverageActivation(): Double
  53. def getBalanceClasses(): Boolean
  54. def getCalculateFeatureImportances(): Boolean
  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. def getCustomMetricFunc(): String
  60. final def getDefault[T](param: Param[T]): Option[T]
    Definition Classes
    Params
  61. def getDiagnostics(): Boolean
  62. def getDistribution(): String
  63. def getElasticAveraging(): Boolean
  64. def getElasticAveragingMovingRate(): Double
  65. def getElasticAveragingRegularization(): Double
  66. def getEpochs(): Double
  67. def getEpsilon(): Double
  68. def getExportCheckpointsDir(): String
  69. def getExportWeightsAndBiases(): Boolean
  70. def getFastMode(): Boolean
  71. def getFoldAssignment(): String
  72. def getFoldCol(): String
  73. def getForceLoadBalance(): Boolean
  74. def getHidden(): Array[Int]
  75. def getHiddenDropoutRatios(): Array[Double]
  76. def getHuberAlpha(): Double
  77. def getIgnoreConstCols(): Boolean
  78. def getIgnoredCols(): Array[String]
    Definition Classes
    HasIgnoredCols
  79. def getInitialBiases(): Array[DenseVector]
    Definition Classes
    HasInitialBiases
  80. def getInitialWeightDistribution(): String
  81. def getInitialWeightScale(): Double
  82. def getInitialWeights(): Array[DenseMatrix]
    Definition Classes
    HasInitialWeights
  83. def getInputDropoutRatio(): Double
  84. def getKeepCrossValidationFoldAssignment(): Boolean
  85. def getKeepCrossValidationModels(): Boolean
  86. def getKeepCrossValidationPredictions(): Boolean
  87. def getL1(): Double
  88. def getL2(): Double
  89. def getLabelCol(): String
  90. def getLoss(): String
  91. def getMaxAfterBalanceSize(): Float
  92. def getMaxCategoricalFeatures(): Int
  93. def getMaxRuntimeSecs(): Double
  94. def getMaxW2(): Float
  95. def getMiniBatchSize(): Int
  96. def getMissingValuesHandling(): String
  97. def getModelId(): String
  98. def getMomentumRamp(): Double
  99. def getMomentumStable(): Double
  100. def getMomentumStart(): Double
  101. def getNesterovAcceleratedGradient(): Boolean
  102. def getNfolds(): Int
  103. def getOffsetCol(): String
  104. final def getOrDefault[T](param: Param[T]): T
    Definition Classes
    Params
  105. def getOverwriteWithBestModel(): Boolean
  106. def getParam(paramName: String): Param[Any]
    Definition Classes
    Params
  107. def getQuantileAlpha(): Double
  108. def getQuietMode(): Boolean
  109. def getRate(): Double
  110. def getRateAnnealing(): Double
  111. def getRateDecay(): Double
  112. def getRegressionStop(): Double
  113. def getReplicateTrainingData(): Boolean
  114. def getReproducible(): Boolean
  115. def getRho(): Double
  116. def getScoreDutyCycle(): Double
  117. def getScoreEachIteration(): Boolean
  118. def getScoreInterval(): Double
  119. def getScoreTrainingSamples(): Long
  120. def getScoreValidationSamples(): Long
  121. def getScoreValidationSampling(): String
  122. def getSeed(): Long
  123. def getShuffleTrainingData(): Boolean
  124. def getSingleNodeMode(): Boolean
  125. def getSparse(): Boolean
  126. def getSparsityBeta(): Double
  127. def getStandardize(): Boolean
  128. def getStoppingMetric(): String
  129. def getStoppingRounds(): Int
  130. def getStoppingTolerance(): Double
  131. def getTargetRatioCommToComp(): Double
  132. def getTrainSamplesPerIteration(): Long
  133. def getTweediePower(): Double
  134. def getUseAllFactorLevels(): Boolean
  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. val inputDropoutRatio: org.apache.spark.ml.param.DoubleParam
    Attributes
    protected
  146. def intArrayParam(name: String, doc: String): IntArrayParam
    Attributes
    protected
    Definition Classes
    ParameterConstructorMethods
  147. def intParam(name: String, doc: String): IntParam
    Attributes
    protected
    Definition Classes
    ParameterConstructorMethods
  148. final def isDefined(param: Param[_]): Boolean
    Definition Classes
    Params
  149. final def isInstanceOf[T0]: Boolean
    Definition Classes
    Any
  150. final def isSet(param: Param[_]): Boolean
    Definition Classes
    Params
  151. val keepCrossValidationFoldAssignment: BooleanParam
    Attributes
    protected
  152. val keepCrossValidationModels: BooleanParam
    Attributes
    protected
  153. val keepCrossValidationPredictions: BooleanParam
    Attributes
    protected
  154. val l1: org.apache.spark.ml.param.DoubleParam
    Attributes
    protected
  155. val l2: org.apache.spark.ml.param.DoubleParam
    Attributes
    protected
  156. val labelCol: Param[String]
    Attributes
    protected
  157. def longParam(name: String, doc: String): LongParam
    Attributes
    protected
    Definition Classes
    ParameterConstructorMethods
  158. val loss: Param[String]
    Attributes
    protected
  159. val maxAfterBalanceSize: FloatParam
    Attributes
    protected
  160. val maxCategoricalFeatures: IntParam
    Attributes
    protected
  161. val maxRuntimeSecs: org.apache.spark.ml.param.DoubleParam
    Attributes
    protected
  162. val maxW2: FloatParam
    Attributes
    protected
  163. val miniBatchSize: IntParam
    Attributes
    protected
  164. val missingValuesHandling: Param[String]
    Attributes
    protected
  165. val modelId: NullableStringParam
    Attributes
    protected
  166. val momentumRamp: org.apache.spark.ml.param.DoubleParam
    Attributes
    protected
  167. val momentumStable: org.apache.spark.ml.param.DoubleParam
    Attributes
    protected
  168. val momentumStart: org.apache.spark.ml.param.DoubleParam
    Attributes
    protected
  169. final def ne(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  170. val nesterovAcceleratedGradient: BooleanParam
    Attributes
    protected
  171. val nfolds: IntParam
    Attributes
    protected
  172. final def notify(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native()
  173. final def notifyAll(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native()
  174. def nullableBooleanArrayParam(name: String, doc: String): NullableBooleanArrayParam
    Attributes
    protected
    Definition Classes
    ParameterConstructorMethods
  175. def nullableDoubleArrayArrayParam(name: String, doc: String): NullableDoubleArrayArrayParam
    Attributes
    protected
    Definition Classes
    ParameterConstructorMethods
  176. def nullableDoubleArrayParam(name: String, doc: String): NullableDoubleArrayParam
    Attributes
    protected
    Definition Classes
    ParameterConstructorMethods
  177. def nullableFloatArrayParam(name: String, doc: String): NullableFloatArrayParam
    Attributes
    protected
    Definition Classes
    ParameterConstructorMethods
  178. def nullableIntArrayParam(name: String, doc: String): NullableIntArrayParam
    Attributes
    protected
    Definition Classes
    ParameterConstructorMethods
  179. def nullableStringArrayArrayParam(name: String, doc: String): NullableStringArrayArrayParam
    Attributes
    protected
    Definition Classes
    ParameterConstructorMethods
  180. def nullableStringArrayParam(name: String, doc: String): NullableStringArrayParam
    Attributes
    protected
    Definition Classes
    ParameterConstructorMethods
  181. def nullableStringPairArrayParam(name: String, doc: String): NullableStringPairArrayParam
    Attributes
    protected
    Definition Classes
    ParameterConstructorMethods
  182. def nullableStringParam(name: String, doc: String): NullableStringParam
    Attributes
    protected
    Definition Classes
    ParameterConstructorMethods
  183. val offsetCol: NullableStringParam
    Attributes
    protected
  184. val overwriteWithBestModel: BooleanParam
    Attributes
    protected
  185. def param[T](name: String, doc: String): Param[T]
    Attributes
    protected
    Definition Classes
    ParameterConstructorMethods
  186. def paramTag: ClassTag[DeepLearningParameters]
    Attributes
    protected
  187. lazy val params: Array[Param[_]]
    Definition Classes
    Params
  188. val quantileAlpha: org.apache.spark.ml.param.DoubleParam
    Attributes
    protected
  189. val quietMode: BooleanParam
    Attributes
    protected
  190. val rate: org.apache.spark.ml.param.DoubleParam
    Attributes
    protected
  191. val rateAnnealing: org.apache.spark.ml.param.DoubleParam
    Attributes
    protected
  192. val rateDecay: org.apache.spark.ml.param.DoubleParam
    Attributes
    protected
  193. val regressionStop: org.apache.spark.ml.param.DoubleParam
    Attributes
    protected
  194. val replicateTrainingData: BooleanParam
    Attributes
    protected
  195. val reproducible: BooleanParam
    Attributes
    protected
  196. val rho: org.apache.spark.ml.param.DoubleParam
    Attributes
    protected
  197. val scoreDutyCycle: org.apache.spark.ml.param.DoubleParam
    Attributes
    protected
  198. val scoreEachIteration: BooleanParam
    Attributes
    protected
  199. val scoreInterval: org.apache.spark.ml.param.DoubleParam
    Attributes
    protected
  200. val scoreTrainingSamples: LongParam
    Attributes
    protected
  201. val scoreValidationSamples: LongParam
    Attributes
    protected
  202. val scoreValidationSampling: Param[String]
    Attributes
    protected
  203. val seed: LongParam
    Attributes
    protected
  204. final def set(paramPair: ParamPair[_]): H2ODeepLearningParams.this.type
    Attributes
    protected
    Definition Classes
    Params
  205. final def set(param: String, value: Any): H2ODeepLearningParams.this.type
    Attributes
    protected
    Definition Classes
    Params
  206. final def set[T](param: Param[T], value: T): H2ODeepLearningParams.this.type
    Definition Classes
    Params
  207. def setActivation(value: String): H2ODeepLearningParams.this.type
  208. def setAdaptiveRate(value: Boolean): H2ODeepLearningParams.this.type
  209. def setAucType(value: String): H2ODeepLearningParams.this.type
  210. def setAverageActivation(value: Double): H2ODeepLearningParams.this.type
  211. def setBalanceClasses(value: Boolean): H2ODeepLearningParams.this.type
  212. def setCalculateFeatureImportances(value: Boolean): H2ODeepLearningParams.this.type
  213. def setCategoricalEncoding(value: String): H2ODeepLearningParams.this.type
  214. def setClassSamplingFactors(value: Array[Float]): H2ODeepLearningParams.this.type
  215. def setClassificationStop(value: Double): H2ODeepLearningParams.this.type
  216. def setCustomMetricFunc(value: String): H2ODeepLearningParams.this.type
  217. final def setDefault(paramPairs: ParamPair[_]*): H2ODeepLearningParams.this.type
    Attributes
    protected
    Definition Classes
    Params
  218. final def setDefault[T](param: Param[T], value: T): H2ODeepLearningParams.this.type
    Attributes
    protected
    Definition Classes
    Params
  219. def setDiagnostics(value: Boolean): H2ODeepLearningParams.this.type
  220. def setDistribution(value: String): H2ODeepLearningParams.this.type
  221. def setElasticAveraging(value: Boolean): H2ODeepLearningParams.this.type
  222. def setElasticAveragingMovingRate(value: Double): H2ODeepLearningParams.this.type
  223. def setElasticAveragingRegularization(value: Double): H2ODeepLearningParams.this.type
  224. def setEpochs(value: Double): H2ODeepLearningParams.this.type
  225. def setEpsilon(value: Double): H2ODeepLearningParams.this.type
  226. def setExportCheckpointsDir(value: String): H2ODeepLearningParams.this.type
  227. def setExportWeightsAndBiases(value: Boolean): H2ODeepLearningParams.this.type
  228. def setFastMode(value: Boolean): H2ODeepLearningParams.this.type
  229. def setFoldAssignment(value: String): H2ODeepLearningParams.this.type
  230. def setFoldCol(value: String): H2ODeepLearningParams.this.type
  231. def setForceLoadBalance(value: Boolean): H2ODeepLearningParams.this.type
  232. def setHidden(value: Array[Int]): H2ODeepLearningParams.this.type
  233. def setHiddenDropoutRatios(value: Array[Double]): H2ODeepLearningParams.this.type
  234. def setHuberAlpha(value: Double): H2ODeepLearningParams.this.type
  235. def setIgnoreConstCols(value: Boolean): H2ODeepLearningParams.this.type
  236. def setIgnoredCols(value: Array[String]): H2ODeepLearningParams.this.type
    Definition Classes
    HasIgnoredCols
  237. def setInitialBiases(value: Array[DenseVector]): H2ODeepLearningParams.this.type
    Definition Classes
    HasInitialBiases
  238. def setInitialWeightDistribution(value: String): H2ODeepLearningParams.this.type
  239. def setInitialWeightScale(value: Double): H2ODeepLearningParams.this.type
  240. def setInitialWeights(value: Array[DenseMatrix]): H2ODeepLearningParams.this.type
    Definition Classes
    HasInitialWeights
  241. def setInputDropoutRatio(value: Double): H2ODeepLearningParams.this.type
  242. def setKeepCrossValidationFoldAssignment(value: Boolean): H2ODeepLearningParams.this.type
  243. def setKeepCrossValidationModels(value: Boolean): H2ODeepLearningParams.this.type
  244. def setKeepCrossValidationPredictions(value: Boolean): H2ODeepLearningParams.this.type
  245. def setL1(value: Double): H2ODeepLearningParams.this.type
  246. def setL2(value: Double): H2ODeepLearningParams.this.type
  247. def setLabelCol(value: String): H2ODeepLearningParams.this.type
  248. def setLoss(value: String): H2ODeepLearningParams.this.type
  249. def setMaxAfterBalanceSize(value: Float): H2ODeepLearningParams.this.type
  250. def setMaxCategoricalFeatures(value: Int): H2ODeepLearningParams.this.type
  251. def setMaxRuntimeSecs(value: Double): H2ODeepLearningParams.this.type
  252. def setMaxW2(value: Float): H2ODeepLearningParams.this.type
  253. def setMiniBatchSize(value: Int): H2ODeepLearningParams.this.type
  254. def setMissingValuesHandling(value: String): H2ODeepLearningParams.this.type
  255. def setModelId(value: String): H2ODeepLearningParams.this.type
  256. def setMomentumRamp(value: Double): H2ODeepLearningParams.this.type
  257. def setMomentumStable(value: Double): H2ODeepLearningParams.this.type
  258. def setMomentumStart(value: Double): H2ODeepLearningParams.this.type
  259. def setNesterovAcceleratedGradient(value: Boolean): H2ODeepLearningParams.this.type
  260. def setNfolds(value: Int): H2ODeepLearningParams.this.type
  261. def setOffsetCol(value: String): H2ODeepLearningParams.this.type
  262. def setOverwriteWithBestModel(value: Boolean): H2ODeepLearningParams.this.type
  263. def setQuantileAlpha(value: Double): H2ODeepLearningParams.this.type
  264. def setQuietMode(value: Boolean): H2ODeepLearningParams.this.type
  265. def setRate(value: Double): H2ODeepLearningParams.this.type
  266. def setRateAnnealing(value: Double): H2ODeepLearningParams.this.type
  267. def setRateDecay(value: Double): H2ODeepLearningParams.this.type
  268. def setRegressionStop(value: Double): H2ODeepLearningParams.this.type
  269. def setReplicateTrainingData(value: Boolean): H2ODeepLearningParams.this.type
  270. def setReproducible(value: Boolean): H2ODeepLearningParams.this.type
  271. def setRho(value: Double): H2ODeepLearningParams.this.type
  272. def setScoreDutyCycle(value: Double): H2ODeepLearningParams.this.type
  273. def setScoreEachIteration(value: Boolean): H2ODeepLearningParams.this.type
  274. def setScoreInterval(value: Double): H2ODeepLearningParams.this.type
  275. def setScoreTrainingSamples(value: Long): H2ODeepLearningParams.this.type
  276. def setScoreValidationSamples(value: Long): H2ODeepLearningParams.this.type
  277. def setScoreValidationSampling(value: String): H2ODeepLearningParams.this.type
  278. def setSeed(value: Long): H2ODeepLearningParams.this.type
  279. def setShuffleTrainingData(value: Boolean): H2ODeepLearningParams.this.type
  280. def setSingleNodeMode(value: Boolean): H2ODeepLearningParams.this.type
  281. def setSparse(value: Boolean): H2ODeepLearningParams.this.type
  282. def setSparsityBeta(value: Double): H2ODeepLearningParams.this.type
  283. def setStandardize(value: Boolean): H2ODeepLearningParams.this.type
  284. def setStoppingMetric(value: String): H2ODeepLearningParams.this.type
  285. def setStoppingRounds(value: Int): H2ODeepLearningParams.this.type
  286. def setStoppingTolerance(value: Double): H2ODeepLearningParams.this.type
  287. def setTargetRatioCommToComp(value: Double): H2ODeepLearningParams.this.type
  288. def setTrainSamplesPerIteration(value: Long): H2ODeepLearningParams.this.type
  289. def setTweediePower(value: Double): H2ODeepLearningParams.this.type
  290. def setUseAllFactorLevels(value: Boolean): H2ODeepLearningParams.this.type
  291. def setWeightCol(value: String): H2ODeepLearningParams.this.type
  292. val shuffleTrainingData: BooleanParam
    Attributes
    protected
  293. val singleNodeMode: BooleanParam
    Attributes
    protected
  294. val sparse: BooleanParam
    Attributes
    protected
  295. val sparsityBeta: org.apache.spark.ml.param.DoubleParam
    Attributes
    protected
  296. val standardize: BooleanParam
    Attributes
    protected
  297. val stoppingMetric: Param[String]
    Attributes
    protected
  298. val stoppingRounds: IntParam
    Attributes
    protected
  299. val stoppingTolerance: org.apache.spark.ml.param.DoubleParam
    Attributes
    protected
  300. def stringArrayParam(name: String, doc: String): StringArrayParam
    Attributes
    protected
    Definition Classes
    ParameterConstructorMethods
  301. def stringParam(name: String, doc: String): Param[String]
    Attributes
    protected
    Definition Classes
    ParameterConstructorMethods
  302. final def synchronized[T0](arg0: ⇒ T0): T0
    Definition Classes
    AnyRef
  303. val targetRatioCommToComp: org.apache.spark.ml.param.DoubleParam
    Attributes
    protected
  304. def toString(): String
    Definition Classes
    Identifiable → AnyRef → Any
  305. val trainSamplesPerIteration: LongParam
    Attributes
    protected
  306. val tweediePower: org.apache.spark.ml.param.DoubleParam
    Attributes
    protected
  307. val useAllFactorLevels: BooleanParam
    Attributes
    protected
  308. final def wait(): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  309. final def wait(arg0: Long, arg1: Int): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  310. final def wait(arg0: Long): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... ) @native()
  311. 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