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 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
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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
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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
    AnyRef → Any

  2. final def ##(): Int

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    Definition Classes
    AnyRef → Any

  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
    AnyRef → Any

  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
    protected

  10. val balanceClasses: BooleanParam

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    Attributes
    protected

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

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    Attributes
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    Definition Classes
    ParameterConstructorMethods

  12. val calculateFeatureImportances: BooleanParam

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    Attributes
    protected

  13. val categoricalEncoding: Param[String]

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    Attributes
    protected

  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
    protected
    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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    Attributes
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    Params

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

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    Params

  24. val diagnostics: BooleanParam

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  25. val distribution: Param[String]

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

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    Attributes
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    ParameterConstructorMethods

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

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    ParameterConstructorMethods

  28. val elasticAveraging: BooleanParam

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    Attributes
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  29. val elasticAveragingMovingRate: org.apache.spark.ml.param.DoubleParam

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    Attributes
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  30. val elasticAveragingRegularization: org.apache.spark.ml.param.DoubleParam

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

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

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    Attributes
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  33. final def eq(arg0: AnyRef): Boolean

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  34. def equals(arg0: Any): Boolean

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    Definition Classes
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  35. def explainParam(param: Param[_]): String

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    Definition Classes
    Params

  36. def explainParams(): String

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    Definition Classes
    Params

  37. val exportCheckpointsDir: NullableStringParam

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    Attributes
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  38. val exportWeightsAndBiases: BooleanParam

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    Attributes
    protected

  39. final def extractParamMap(): ParamMap

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    Definition Classes
    Params

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

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    Definition Classes
    Params

  41. val fastMode: BooleanParam

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    Attributes
    protected

  42. def finalize(): Unit

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

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

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    Attributes
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    ParameterConstructorMethods

  44. val foldAssignment: Param[String]

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    Attributes
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  45. val foldCol: NullableStringParam

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    Attributes
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  46. val forceLoadBalance: BooleanParam

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

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    Definition Classes
    Params

  48. def getActivation(): String

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  49. def getAdaptiveRate(): Boolean

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  50. def getAucType(): String

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  51. def getAutoencoder(): Boolean

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    Definition Classes
    HasDeprecatedAutoencoder
    Annotations
    @DeprecatedMethod( x$2 , x$1 )

  52. def getAverageActivation(): Double

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  53. def getBalanceClasses(): Boolean

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  54. def getCalculateFeatureImportances(): Boolean

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    Definition Classes
    H2ODeepLearningParams → HasDeprecatedVariableImportances

  55. def getCategoricalEncoding(): String

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

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

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  58. def getClassificationStop(): Double

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

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    Definition Classes
    Params

  60. def getDiagnostics(): Boolean

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  61. def getDistribution(): String

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  62. def getElasticAveraging(): Boolean

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  63. def getElasticAveragingMovingRate(): Double

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  64. def getElasticAveragingRegularization(): Double

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  65. def getEpochs(): Double

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  66. def getEpsilon(): Double

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  67. def getExportCheckpointsDir(): String

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  68. def getExportWeightsAndBiases(): Boolean

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  69. def getFastMode(): Boolean

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  70. def getFoldAssignment(): String

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  71. def getFoldCol(): String

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  72. def getForceLoadBalance(): Boolean

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  73. def getHidden(): Array[Int]

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  74. def getHiddenDropoutRatios(): Array[Double]

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  75. def getHuberAlpha(): Double

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  76. def getIgnoreConstCols(): Boolean

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  77. def getIgnoredCols(): Array[String]

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    Definition Classes
    HasIgnoredCols

  78. def getInitialBiases(): Array[DenseVector]

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    Definition Classes
    HasInitialBiases

  79. def getInitialWeightDistribution(): String

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  80. def getInitialWeightScale(): Double

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  81. def getInitialWeights(): Array[DenseMatrix]

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    Definition Classes
    HasInitialWeights

  82. def getInputDropoutRatio(): Double

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  83. def getKeepCrossValidationFoldAssignment(): Boolean

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  84. def getKeepCrossValidationModels(): Boolean

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  85. def getKeepCrossValidationPredictions(): Boolean

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  86. def getL1(): Double

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  87. def getL2(): Double

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  88. def getLabelCol(): String

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  89. def getLoss(): String

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  90. def getMaxAfterBalanceSize(): Float

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  91. def getMaxCategoricalFeatures(): Int

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  92. def getMaxRuntimeSecs(): Double

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  93. def getMaxW2(): Float

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  94. def getMiniBatchSize(): Int

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  95. def getMissingValuesHandling(): String

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  96. def getModelId(): String

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  97. def getMomentumRamp(): Double

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  98. def getMomentumStable(): Double

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  99. def getMomentumStart(): Double

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  100. def getNesterovAcceleratedGradient(): Boolean

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  101. def getNfolds(): Int

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  102. def getOffsetCol(): String

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

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    Definition Classes
    Params

  104. def getOverwriteWithBestModel(): Boolean

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

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    Definition Classes
    Params

  106. def getQuantileAlpha(): Double

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  107. def getQuietMode(): Boolean

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  108. def getRate(): Double

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  109. def getRateAnnealing(): Double

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  110. def getRateDecay(): Double

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  111. def getRegressionStop(): Double

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  112. def getReplicateTrainingData(): Boolean

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  113. def getReproducible(): Boolean

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  114. def getRho(): Double

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  115. def getScoreDutyCycle(): Double

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  116. def getScoreEachIteration(): Boolean

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  117. def getScoreInterval(): Double

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  118. def getScoreTrainingSamples(): Long

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  119. def getScoreValidationSamples(): Long

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  120. def getScoreValidationSampling(): String

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  121. def getSeed(): Long

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  122. def getShuffleTrainingData(): Boolean

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  123. def getSingleNodeMode(): Boolean

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  124. def getSparse(): Boolean

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  125. def getSparsityBeta(): Double

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  126. def getStandardize(): Boolean

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  127. def getStoppingMetric(): String

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  128. def getStoppingRounds(): Int

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  129. def getStoppingTolerance(): Double

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  130. def getTargetRatioCommToComp(): Double

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  131. def getTrainSamplesPerIteration(): Long

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  132. def getTweediePower(): Double

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  133. def getUseAllFactorLevels(): Boolean

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  134. def getVariableImportances(): Boolean

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    Definition Classes
    HasDeprecatedVariableImportances
    Annotations
    @DeprecatedMethod( "getCalculateFeatureImportances" , "3.38" )

  135. def getWeightCol(): String

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

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    Definition Classes
    Params

  137. def hasParam(paramName: String): Boolean

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    Definition Classes
    Params

  138. def hashCode(): Int

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    Definition Classes
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  139. val hidden: IntArrayParam

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  140. val hiddenDropoutRatios: NullableDoubleArrayParam

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

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  142. val ignoreConstCols: BooleanParam

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  143. val initialWeightDistribution: Param[String]

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

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    Attributes
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  145. def initializeLogIfNecessary(isInterpreter: Boolean): Unit

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    Attributes
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    Logging

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

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

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

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

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  150. final def isInstanceOf[T0]: Boolean

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

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  152. def isTraceEnabled(): Boolean

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    Logging

  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 log: Logger

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    Logging

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

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    Logging

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

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    Logging

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

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    Logging

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

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    Logging

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

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    Logging

  165. def logInfo(msg: ⇒ String): Unit

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    Logging

  166. def logName: String

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

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

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

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

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    Logging

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

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  172. val loss: Param[String]

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  173. val maxAfterBalanceSize: FloatParam

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  174. val maxCategoricalFeatures: IntParam

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

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  176. val maxW2: FloatParam

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  177. val miniBatchSize: IntParam

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  178. val missingValuesHandling: Param[String]

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  179. val modelId: NullableStringParam

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

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

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

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

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  184. val nesterovAcceleratedGradient: BooleanParam

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  185. val nfolds: IntParam

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  186. final def notify(): Unit

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  187. final def notifyAll(): Unit

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

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

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

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

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

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

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

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

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  196. val offsetCol: NullableStringParam

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  197. val overwriteWithBestModel: BooleanParam

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

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  199. def paramTag: ClassTag[DeepLearningParameters]

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

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    Definition Classes
    Params

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

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  202. val quietMode: BooleanParam

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

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

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

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

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  207. val replicateTrainingData: BooleanParam

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  208. val reproducible: BooleanParam

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

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

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  211. val scoreEachIteration: BooleanParam

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

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  213. val scoreTrainingSamples: LongParam

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  214. val scoreValidationSamples: LongParam

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  215. val scoreValidationSampling: Param[String]

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  216. val seed: LongParam

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

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

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

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

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

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

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

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    Definition Classes
    HasDeprecatedAutoencoder
    Annotations
    @DeprecatedMethod( x$4 , x$3 )

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

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

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

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    Definition Classes
    H2ODeepLearningParams → HasDeprecatedVariableImportances

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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    Definition Classes
    HasIgnoredCols

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

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    Definition Classes
    HasInitialBiases

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

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

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

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    Definition Classes
    HasInitialWeights

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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  304. def setVariableImportances(value: Boolean): H2ODeepLearningParams.this.type

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    Definition Classes
    HasDeprecatedVariableImportances
    Annotations
    @DeprecatedMethod( "setCalculateFeatureImportances" , "3.38" )

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

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  306. val shuffleTrainingData: BooleanParam

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    Attributes
    protected

  307. val singleNodeMode: BooleanParam

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    Attributes
    protected

  308. val sparse: BooleanParam

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    Attributes
    protected

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

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    Attributes
    protected

  310. val standardize: BooleanParam

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    Attributes
    protected

  311. val stoppingMetric: Param[String]

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    Attributes
    protected

  312. val stoppingRounds: IntParam

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    Attributes
    protected

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

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    Attributes
    protected

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

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    Attributes
    protected
    Definition Classes
    ParameterConstructorMethods

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

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    Attributes
    protected
    Definition Classes
    ParameterConstructorMethods

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

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    Definition Classes
    AnyRef

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

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    Attributes
    protected

  318. def toString(): String

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    Definition Classes
    Identifiable → AnyRef → Any

  319. val trainSamplesPerIteration: LongParam

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    Attributes
    protected

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

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    Attributes
    protected

  321. val useAllFactorLevels: BooleanParam

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    Attributes
    protected

  322. final def wait(): Unit

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

  325. val weightCol: NullableStringParam

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    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