Trait

ai.h2o.sparkling.ml.params

H2ODeepLearningParams

Related Doc: package params

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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
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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
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Type Members

  1. implicit class ParametersExtraMethods extends AnyRef

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    Definition Classes
    H2OAlgoParamsBase

Abstract Value Members

  1. abstract def copy(extra: ParamMap): Params

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    Definition Classes
    Params

  2. abstract val uid: String

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    Definition Classes
    Identifiable

Concrete Value Members

  1. final def !=(arg0: Any): Boolean

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    Definition Classes
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  2. final def ##(): Int

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    Definition Classes
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  3. final def $[T](param: Param[T]): T

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    Attributes
    protected
    Definition Classes
    Params

  4. final def ==(arg0: Any): Boolean

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    Definition Classes
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  5. val activation: Param[String]

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    Attributes
    protected

  6. val adaptiveRate: BooleanParam

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    Attributes
    protected

  7. final def asInstanceOf[T0]: T0

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    Definition Classes
    Any

  8. val aucType: Param[String]

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    Attributes
    protected

  9. val averageActivation: org.apache.spark.ml.param.DoubleParam

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    Attributes
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  10. val balanceClasses: BooleanParam

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    Attributes
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  11. def booleanParam(name: String, doc: String): BooleanParam

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    ParameterConstructorMethods

  12. val calculateFeatureImportances: BooleanParam

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    Attributes
    protected

  13. val categoricalEncoding: Param[String]

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    Attributes
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  14. val classSamplingFactors: NullableFloatArrayParam

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    Attributes
    protected

  15. val classificationStop: org.apache.spark.ml.param.DoubleParam

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    Attributes
    protected

  16. final def clear(param: Param[_]): H2ODeepLearningParams.this.type

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    Definition Classes
    Params

  17. def clone(): AnyRef

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    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

  18. def convert2dArrayToH2OFrame(input: Array[Array[Double]]): String

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    Attributes
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    Definition Classes
    H2OAlgoParamsBase

  19. def convertDataFrameToH2OFrameKey(dataFrame: DataFrame): String

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    Attributes
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    Definition Classes
    H2OAlgoParamsBase

  20. def convertMatrixToH2OFrameKeyArray(matrix: Array[DenseMatrix]): Array[String]

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    Attributes
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    Definition Classes
    H2OAlgoParamsBase

  21. def convertVectorArrayToH2OFrameKeyArray(vectors: Array[DenseVector]): Array[String]

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    Attributes
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    Definition Classes
    H2OAlgoParamsBase

  22. def copyValues[T <: Params](to: T, extra: ParamMap): T

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    Params

  23. val customMetricFunc: NullableStringParam

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

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    Attributes
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    Params

  25. val diagnostics: BooleanParam

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  26. val distribution: Param[String]

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

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    ParameterConstructorMethods

  28. def doubleParam(name: String, doc: String): org.apache.spark.ml.param.DoubleParam

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    ParameterConstructorMethods

  29. val elasticAveraging: BooleanParam

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  30. val elasticAveragingMovingRate: org.apache.spark.ml.param.DoubleParam

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  31. val elasticAveragingRegularization: org.apache.spark.ml.param.DoubleParam

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    Attributes
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  32. val epochs: org.apache.spark.ml.param.DoubleParam

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  33. val epsilon: org.apache.spark.ml.param.DoubleParam

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

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    Definition Classes
    AnyRef

  35. def equals(arg0: Any): Boolean

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

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    Definition Classes
    Params

  37. def explainParams(): String

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    Definition Classes
    Params

  38. val exportCheckpointsDir: NullableStringParam

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    Attributes
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  39. val exportWeightsAndBiases: BooleanParam

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    Attributes
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  40. final def extractParamMap(): ParamMap

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    Definition Classes
    Params

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

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    Definition Classes
    Params

  42. val fastMode: BooleanParam

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    protected

  43. def finalize(): Unit

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    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] )

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

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    Attributes
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    ParameterConstructorMethods

  45. val foldAssignment: Param[String]

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  46. val foldCol: NullableStringParam

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  47. val forceLoadBalance: BooleanParam

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    Attributes
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  48. val gainsliftBins: IntParam

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

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    Definition Classes
    Params

  50. def getActivation(): String

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  51. def getAdaptiveRate(): Boolean

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  52. def getAucType(): String

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  53. def getAverageActivation(): Double

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  54. def getBalanceClasses(): Boolean

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  55. def getCalculateFeatureImportances(): Boolean

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  56. def getCategoricalEncoding(): String

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

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    Definition Classes
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  58. def getClassSamplingFactors(): Array[Float]

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  59. def getClassificationStop(): Double

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  60. def getCustomMetricFunc(): String

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

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    Definition Classes
    Params

  62. def getDiagnostics(): Boolean

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  63. def getDistribution(): String

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  64. def getElasticAveraging(): Boolean

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  65. def getElasticAveragingMovingRate(): Double

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  66. def getElasticAveragingRegularization(): Double

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  67. def getEpochs(): Double

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  68. def getEpsilon(): Double

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  69. def getExportCheckpointsDir(): String

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  70. def getExportWeightsAndBiases(): Boolean

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  71. def getFastMode(): Boolean

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  72. def getFoldAssignment(): String

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  73. def getFoldCol(): String

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  74. def getForceLoadBalance(): Boolean

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  75. def getGainsliftBins(): Int

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  76. def getHidden(): Array[Int]

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  77. def getHiddenDropoutRatios(): Array[Double]

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  78. def getHuberAlpha(): Double

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  79. def getIgnoreConstCols(): Boolean

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  80. def getIgnoredCols(): Array[String]

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    Definition Classes
    HasIgnoredCols

  81. def getInitialBiases(): Array[DenseVector]

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    Definition Classes
    HasInitialBiases

  82. def getInitialWeightDistribution(): String

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  83. def getInitialWeightScale(): Double

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  84. def getInitialWeights(): Array[DenseMatrix]

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    Definition Classes
    HasInitialWeights

  85. def getInputDropoutRatio(): Double

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  86. def getKeepCrossValidationFoldAssignment(): Boolean

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  87. def getKeepCrossValidationModels(): Boolean

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  88. def getKeepCrossValidationPredictions(): Boolean

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  89. def getL1(): Double

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  90. def getL2(): Double

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  91. def getLabelCol(): String

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  92. def getLoss(): String

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  93. def getMaxAfterBalanceSize(): Float

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  94. def getMaxCategoricalFeatures(): Int

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  95. def getMaxRuntimeSecs(): Double

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  96. def getMaxW2(): Float

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  97. def getMiniBatchSize(): Int

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  98. def getMissingValuesHandling(): String

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  99. def getModelId(): String

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  100. def getMomentumRamp(): Double

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  101. def getMomentumStable(): Double

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  102. def getMomentumStart(): Double

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  103. def getNesterovAcceleratedGradient(): Boolean

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  104. def getNfolds(): Int

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  105. def getOffsetCol(): String

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

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    Definition Classes
    Params

  107. def getOverwriteWithBestModel(): Boolean

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

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    Definition Classes
    Params

  109. def getQuantileAlpha(): Double

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  110. def getQuietMode(): Boolean

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  111. def getRate(): Double

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  112. def getRateAnnealing(): Double

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  113. def getRateDecay(): Double

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  114. def getRegressionStop(): Double

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  115. def getReplicateTrainingData(): Boolean

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  116. def getReproducible(): Boolean

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  117. def getRho(): Double

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  118. def getScoreDutyCycle(): Double

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  119. def getScoreEachIteration(): Boolean

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  120. def getScoreInterval(): Double

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  121. def getScoreTrainingSamples(): Long

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  122. def getScoreValidationSamples(): Long

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  123. def getScoreValidationSampling(): String

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  124. def getSeed(): Long

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  125. def getShuffleTrainingData(): Boolean

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  126. def getSingleNodeMode(): Boolean

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  127. def getSparse(): Boolean

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  128. def getSparsityBeta(): Double

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  129. def getStandardize(): Boolean

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  130. def getStoppingMetric(): String

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  131. def getStoppingRounds(): Int

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  132. def getStoppingTolerance(): Double

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  133. def getTargetRatioCommToComp(): Double

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  134. def getTrainSamplesPerIteration(): Long

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  135. def getTweediePower(): Double

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  136. def getUseAllFactorLevels(): Boolean

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  137. def getWeightCol(): String

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

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    Definition Classes
    Params

  139. def hasParam(paramName: String): Boolean

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    Definition Classes
    Params

  140. def hashCode(): Int

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    Definition Classes
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  141. val hidden: IntArrayParam

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  142. val hiddenDropoutRatios: NullableDoubleArrayParam

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  143. val huberAlpha: org.apache.spark.ml.param.DoubleParam

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  144. val ignoreConstCols: BooleanParam

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  145. val initialWeightDistribution: Param[String]

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  146. val initialWeightScale: org.apache.spark.ml.param.DoubleParam

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  147. val inputDropoutRatio: org.apache.spark.ml.param.DoubleParam

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

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

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

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  151. final def isInstanceOf[T0]: Boolean

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

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  153. val keepCrossValidationFoldAssignment: BooleanParam

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  154. val keepCrossValidationModels: BooleanParam

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  155. val keepCrossValidationPredictions: BooleanParam

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  156. val l1: org.apache.spark.ml.param.DoubleParam

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  157. val l2: org.apache.spark.ml.param.DoubleParam

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  158. val labelCol: Param[String]

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

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  160. val loss: Param[String]

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  161. val maxAfterBalanceSize: FloatParam

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  162. val maxCategoricalFeatures: IntParam

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  163. val maxRuntimeSecs: org.apache.spark.ml.param.DoubleParam

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  164. val maxW2: FloatParam

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  165. val miniBatchSize: IntParam

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  166. val missingValuesHandling: Param[String]

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  167. val modelId: NullableStringParam

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  168. val momentumRamp: org.apache.spark.ml.param.DoubleParam

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  169. val momentumStable: org.apache.spark.ml.param.DoubleParam

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  170. val momentumStart: org.apache.spark.ml.param.DoubleParam

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

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  172. val nesterovAcceleratedGradient: BooleanParam

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  173. val nfolds: IntParam

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  174. final def notify(): Unit

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  175. final def notifyAll(): Unit

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  176. def nullableBooleanArrayParam(name: String, doc: String): NullableBooleanArrayParam

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

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

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

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

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

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

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

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

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  185. val offsetCol: NullableStringParam

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  186. val overwriteWithBestModel: BooleanParam

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

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  188. def paramTag: ClassTag[DeepLearningParameters]

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

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    Params

  190. val quantileAlpha: org.apache.spark.ml.param.DoubleParam

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  191. val quietMode: BooleanParam

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  192. val rate: org.apache.spark.ml.param.DoubleParam

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  193. val rateAnnealing: org.apache.spark.ml.param.DoubleParam

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  194. val rateDecay: org.apache.spark.ml.param.DoubleParam

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  195. val regressionStop: org.apache.spark.ml.param.DoubleParam

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  196. val replicateTrainingData: BooleanParam

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  197. val reproducible: BooleanParam

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  198. val rho: org.apache.spark.ml.param.DoubleParam

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  199. val scoreDutyCycle: org.apache.spark.ml.param.DoubleParam

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  200. val scoreEachIteration: BooleanParam

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  201. val scoreInterval: org.apache.spark.ml.param.DoubleParam

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  202. val scoreTrainingSamples: LongParam

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  203. val scoreValidationSamples: LongParam

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  204. val scoreValidationSampling: Param[String]

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  205. val seed: LongParam

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  206. final def set(paramPair: ParamPair[_]): H2ODeepLearningParams.this.type

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  207. final def set(param: String, value: Any): H2ODeepLearningParams.this.type

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  208. final def set[T](param: Param[T], value: T): H2ODeepLearningParams.this.type

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    Definition Classes
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  209. def setActivation(value: String): H2ODeepLearningParams.this.type

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  210. def setAdaptiveRate(value: Boolean): H2ODeepLearningParams.this.type

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  211. def setAucType(value: String): H2ODeepLearningParams.this.type

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  212. def setAverageActivation(value: Double): H2ODeepLearningParams.this.type

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  213. def setBalanceClasses(value: Boolean): H2ODeepLearningParams.this.type

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  214. def setCalculateFeatureImportances(value: Boolean): H2ODeepLearningParams.this.type

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  215. def setCategoricalEncoding(value: String): H2ODeepLearningParams.this.type

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  216. def setClassSamplingFactors(value: Array[Float]): H2ODeepLearningParams.this.type

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  217. def setClassificationStop(value: Double): H2ODeepLearningParams.this.type

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  218. def setCustomMetricFunc(value: String): H2ODeepLearningParams.this.type

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  219. final def setDefault(paramPairs: ParamPair[_]*): H2ODeepLearningParams.this.type

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  220. final def setDefault[T](param: Param[T], value: T): H2ODeepLearningParams.this.type

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  221. def setDiagnostics(value: Boolean): H2ODeepLearningParams.this.type

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  222. def setDistribution(value: String): H2ODeepLearningParams.this.type

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  223. def setElasticAveraging(value: Boolean): H2ODeepLearningParams.this.type

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  224. def setElasticAveragingMovingRate(value: Double): H2ODeepLearningParams.this.type

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  225. def setElasticAveragingRegularization(value: Double): H2ODeepLearningParams.this.type

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  226. def setEpochs(value: Double): H2ODeepLearningParams.this.type

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  227. def setEpsilon(value: Double): H2ODeepLearningParams.this.type

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  228. def setExportCheckpointsDir(value: String): H2ODeepLearningParams.this.type

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  229. def setExportWeightsAndBiases(value: Boolean): H2ODeepLearningParams.this.type

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  230. def setFastMode(value: Boolean): H2ODeepLearningParams.this.type

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  231. def setFoldAssignment(value: String): H2ODeepLearningParams.this.type

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  232. def setFoldCol(value: String): H2ODeepLearningParams.this.type

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  233. def setForceLoadBalance(value: Boolean): H2ODeepLearningParams.this.type

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  234. def setGainsliftBins(value: Int): H2ODeepLearningParams.this.type

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  235. def setHidden(value: Array[Int]): H2ODeepLearningParams.this.type

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  236. def setHiddenDropoutRatios(value: Array[Double]): H2ODeepLearningParams.this.type

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  237. def setHuberAlpha(value: Double): H2ODeepLearningParams.this.type

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  238. def setIgnoreConstCols(value: Boolean): H2ODeepLearningParams.this.type

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  239. def setIgnoredCols(value: Array[String]): H2ODeepLearningParams.this.type

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    Definition Classes
    HasIgnoredCols

  240. def setInitialBiases(value: Array[DenseVector]): H2ODeepLearningParams.this.type

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    Definition Classes
    HasInitialBiases

  241. def setInitialWeightDistribution(value: String): H2ODeepLearningParams.this.type

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  242. def setInitialWeightScale(value: Double): H2ODeepLearningParams.this.type

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  243. def setInitialWeights(value: Array[DenseMatrix]): H2ODeepLearningParams.this.type

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    Definition Classes
    HasInitialWeights

  244. def setInputDropoutRatio(value: Double): H2ODeepLearningParams.this.type

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  245. def setKeepCrossValidationFoldAssignment(value: Boolean): H2ODeepLearningParams.this.type

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  246. def setKeepCrossValidationModels(value: Boolean): H2ODeepLearningParams.this.type

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  247. def setKeepCrossValidationPredictions(value: Boolean): H2ODeepLearningParams.this.type

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  248. def setL1(value: Double): H2ODeepLearningParams.this.type

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  249. def setL2(value: Double): H2ODeepLearningParams.this.type

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  250. def setLabelCol(value: String): H2ODeepLearningParams.this.type

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  251. def setLoss(value: String): H2ODeepLearningParams.this.type

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  252. def setMaxAfterBalanceSize(value: Float): H2ODeepLearningParams.this.type

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  253. def setMaxCategoricalFeatures(value: Int): H2ODeepLearningParams.this.type

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  254. def setMaxRuntimeSecs(value: Double): H2ODeepLearningParams.this.type

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  255. def setMaxW2(value: Float): H2ODeepLearningParams.this.type

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  256. def setMiniBatchSize(value: Int): H2ODeepLearningParams.this.type

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  257. def setMissingValuesHandling(value: String): H2ODeepLearningParams.this.type

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  258. def setModelId(value: String): H2ODeepLearningParams.this.type

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  259. def setMomentumRamp(value: Double): H2ODeepLearningParams.this.type

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  260. def setMomentumStable(value: Double): H2ODeepLearningParams.this.type

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  261. def setMomentumStart(value: Double): H2ODeepLearningParams.this.type

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  262. def setNesterovAcceleratedGradient(value: Boolean): H2ODeepLearningParams.this.type

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  263. def setNfolds(value: Int): H2ODeepLearningParams.this.type

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  264. def setOffsetCol(value: String): H2ODeepLearningParams.this.type

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  265. def setOverwriteWithBestModel(value: Boolean): H2ODeepLearningParams.this.type

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  266. def setQuantileAlpha(value: Double): H2ODeepLearningParams.this.type

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  267. def setQuietMode(value: Boolean): H2ODeepLearningParams.this.type

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  268. def setRate(value: Double): H2ODeepLearningParams.this.type

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  269. def setRateAnnealing(value: Double): H2ODeepLearningParams.this.type

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  270. def setRateDecay(value: Double): H2ODeepLearningParams.this.type

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  271. def setRegressionStop(value: Double): H2ODeepLearningParams.this.type

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  272. def setReplicateTrainingData(value: Boolean): H2ODeepLearningParams.this.type

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  273. def setReproducible(value: Boolean): H2ODeepLearningParams.this.type

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  274. def setRho(value: Double): H2ODeepLearningParams.this.type

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  275. def setScoreDutyCycle(value: Double): H2ODeepLearningParams.this.type

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  276. def setScoreEachIteration(value: Boolean): H2ODeepLearningParams.this.type

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  277. def setScoreInterval(value: Double): H2ODeepLearningParams.this.type

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  278. def setScoreTrainingSamples(value: Long): H2ODeepLearningParams.this.type

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  279. def setScoreValidationSamples(value: Long): H2ODeepLearningParams.this.type

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  280. def setScoreValidationSampling(value: String): H2ODeepLearningParams.this.type

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  281. def setSeed(value: Long): H2ODeepLearningParams.this.type

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  282. def setShuffleTrainingData(value: Boolean): H2ODeepLearningParams.this.type

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  283. def setSingleNodeMode(value: Boolean): H2ODeepLearningParams.this.type

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  284. def setSparse(value: Boolean): H2ODeepLearningParams.this.type

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  285. def setSparsityBeta(value: Double): H2ODeepLearningParams.this.type

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  286. def setStandardize(value: Boolean): H2ODeepLearningParams.this.type

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  287. def setStoppingMetric(value: String): H2ODeepLearningParams.this.type

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  288. def setStoppingRounds(value: Int): H2ODeepLearningParams.this.type

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  289. def setStoppingTolerance(value: Double): H2ODeepLearningParams.this.type

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  290. def setTargetRatioCommToComp(value: Double): H2ODeepLearningParams.this.type

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  291. def setTrainSamplesPerIteration(value: Long): H2ODeepLearningParams.this.type

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  292. def setTweediePower(value: Double): H2ODeepLearningParams.this.type

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  293. def setUseAllFactorLevels(value: Boolean): H2ODeepLearningParams.this.type

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  294. def setWeightCol(value: String): H2ODeepLearningParams.this.type

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  295. val shuffleTrainingData: BooleanParam

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    Attributes
    protected

  296. val singleNodeMode: BooleanParam

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    Attributes
    protected

  297. val sparse: BooleanParam

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    Attributes
    protected

  298. val sparsityBeta: org.apache.spark.ml.param.DoubleParam

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    Attributes
    protected

  299. val standardize: BooleanParam

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    Attributes
    protected

  300. val stoppingMetric: Param[String]

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    Attributes
    protected

  301. val stoppingRounds: IntParam

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    Attributes
    protected

  302. val stoppingTolerance: org.apache.spark.ml.param.DoubleParam

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    Attributes
    protected

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

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    Attributes
    protected
    Definition Classes
    ParameterConstructorMethods

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

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    Attributes
    protected
    Definition Classes
    ParameterConstructorMethods

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

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    Definition Classes
    AnyRef

  306. val targetRatioCommToComp: org.apache.spark.ml.param.DoubleParam

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    Attributes
    protected

  307. def toString(): String

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    Definition Classes
    Identifiable → AnyRef → Any

  308. val trainSamplesPerIteration: LongParam

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    Attributes
    protected

  309. val tweediePower: org.apache.spark.ml.param.DoubleParam

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    Attributes
    protected

  310. val useAllFactorLevels: BooleanParam

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    Attributes
    protected

  311. final def wait(): Unit

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

  314. val weightCol: NullableStringParam

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    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