Class/Object

ai.h2o.sparkling.ml.models

H2ODeepLearningMOJOModel

Related Docs: object H2ODeepLearningMOJOModel | package models

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class H2ODeepLearningMOJOModel extends H2OSupervisedMOJOModel with ParameterConstructorMethods with Logging with HasIgnoredColsOnMOJO

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Inherited
  1. H2ODeepLearningMOJOModel
  2. HasIgnoredColsOnMOJO
  3. ParameterConstructorMethods
  4. H2OSupervisedMOJOModel
  5. H2OSupervisedMOJOParams
  6. H2OMOJOModel
  7. SpecificMOJOParameters
  8. H2OMOJOPrediction
  9. H2OMOJOPredictionOrdinal
  10. H2OMOJOPredictionBinomial
  11. H2OMOJOPredictionClustering
  12. H2OMOJOPredictionDimReduction
  13. H2OMOJOPredictionMultinomial
  14. PredictionWithStageProbabilities
  15. H2OMOJOPredictionAutoEncoder
  16. H2OMOJOPredictionAnomaly
  17. H2OMOJOPredictionWordEmbedding
  18. H2OMOJOPredictionRegression
  19. PredictionWithContributions
  20. H2OMOJOModelBase
  21. H2OMOJOFlattenedInput
  22. H2OMOJOWritable
  23. MLWritable
  24. HasMojo
  25. H2OBaseMOJOParams
  26. Logging
  27. Model
  28. Transformer
  29. PipelineStage
  30. Logging
  31. Params
  32. Serializable
  33. Serializable
  34. Identifiable
  35. AnyRef
  36. Any
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Instance Constructors

  1. new H2ODeepLearningMOJOModel(uid: String)

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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: NullableStringParam

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    Attributes
    protected
  6. val adaptiveRate: BooleanParam

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    Attributes
    protected
  7. def applyPredictionUdf(dataset: Dataset[_], udfConstructor: (Array[String]) ⇒ UserDefinedFunction): DataFrame

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    Attributes
    protected
    Definition Classes
    H2OMOJOFlattenedInput
  8. def applyPredictionUdfToFlatDataFrame(flatDataFrame: DataFrame, udfConstructor: (Array[String]) ⇒ UserDefinedFunction, inputs: Array[String]): DataFrame

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    Attributes
    protected
    Definition Classes
    H2OSupervisedMOJOModelH2OMOJOModelH2OMOJOFlattenedInput
  9. final def asInstanceOf[T0]: T0

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    Definition Classes
    Any
  10. val aucType: NullableStringParam

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    Attributes
    protected
  11. val autoencoder: BooleanParam

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    Attributes
    protected
  12. val averageActivation: DoubleParam

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    Attributes
    protected
  13. val balanceClasses: BooleanParam

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

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    Attributes
    protected
    Definition Classes
    ParameterConstructorMethods
  15. val categoricalEncoding: NullableStringParam

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    Attributes
    protected
  16. val classSamplingFactors: NullableFloatArrayParam

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    Attributes
    protected
  17. val classificationStop: DoubleParam

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    Attributes
    protected
  18. final def clear(param: Param[_]): H2ODeepLearningMOJOModel.this.type

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    Definition Classes
    Params
  19. def clone(): AnyRef

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    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  20. final val convertInvalidNumbersToNa: BooleanParam

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    Attributes
    protected
    Definition Classes
    H2OBaseMOJOParams
  21. final val convertUnknownCategoricalLevelsToNa: BooleanParam

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    Attributes
    protected
    Definition Classes
    H2OBaseMOJOParams
  22. def copy(extra: ParamMap): H2OMOJOModel

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    Definition Classes
    H2OMOJOModel → Model → Transformer → PipelineStage → Params
  23. def copyValues[T <: Params](to: T, extra: ParamMap): T

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    Attributes
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    Definition Classes
    Params
  24. final val crossValidationMetrics: MapStringDoubleParam

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    Attributes
    protected
    Definition Classes
    H2OMOJOModel
  25. final def defaultCopy[T <: Params](extra: ParamMap): T

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    Attributes
    protected
    Definition Classes
    Params
  26. final val detailedPredictionCol: Param[String]

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    Attributes
    protected
    Definition Classes
    H2OBaseMOJOParams
  27. val diagnostics: BooleanParam

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    Attributes
    protected
  28. val distribution: NullableStringParam

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    Attributes
    protected
  29. def doubleArrayParam(name: String, doc: String): DoubleArrayParam

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    Attributes
    protected
    Definition Classes
    ParameterConstructorMethods
  30. def doubleParam(name: String, doc: String): DoubleParam

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    Attributes
    protected
    Definition Classes
    ParameterConstructorMethods
  31. val elasticAveraging: BooleanParam

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    Attributes
    protected
  32. val elasticAveragingMovingRate: DoubleParam

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    Attributes
    protected
  33. val elasticAveragingRegularization: DoubleParam

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    Attributes
    protected
  34. val epochs: DoubleParam

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    Attributes
    protected
  35. val epsilon: DoubleParam

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    Attributes
    protected
  36. final def eq(arg0: AnyRef): Boolean

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    Definition Classes
    AnyRef
  37. def equals(arg0: Any): Boolean

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

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    Definition Classes
    Params
  39. def explainParams(): String

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    Definition Classes
    Params
  40. val exportCheckpointsDir: NullableStringParam

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    Attributes
    protected
  41. val exportWeightsAndBiases: BooleanParam

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    Attributes
    protected
  42. def extractAnomalyPredictionColContent(): Column

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    Definition Classes
    H2OMOJOPredictionAnomaly
  43. def extractAutoEncoderPredictionColContent(): Column

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    Definition Classes
    H2OMOJOPredictionAutoEncoder
  44. def extractBinomialPredictionColContent(): Column

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    Definition Classes
    H2OMOJOPredictionBinomial
  45. def extractClusteringPredictionColContent(): Column

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    Definition Classes
    H2OMOJOPredictionClustering
  46. def extractDimReductionSimplePredictionColContent(): Column

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  47. def extractMultinomialPredictionColContent(): Column

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    Definition Classes
    H2OMOJOPredictionMultinomial
  48. def extractOrdinalPredictionColContent(): Column

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    Definition Classes
    H2OMOJOPredictionOrdinal
  49. final def extractParamMap(): ParamMap

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    Definition Classes
    Params
  50. final def extractParamMap(extra: ParamMap): ParamMap

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    Definition Classes
    Params
  51. def extractPredictionColContent(): Column

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    Definition Classes
    H2OMOJOPrediction
  52. def extractRegressionPredictionColContent(): Column

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    Definition Classes
    H2OMOJOPredictionRegression
  53. def extractWordEmbeddingPredictionColContent(): Column

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  54. val fastMode: BooleanParam

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    Attributes
    protected
  55. final val featureTypes: MapStringStringParam

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    Attributes
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    Definition Classes
    H2OMOJOModelBase
  56. final val featuresCols: StringArrayParam

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    Attributes
    protected
    Definition Classes
    H2OBaseMOJOParams
  57. def finalize(): Unit

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    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] )
  58. def floatParam(name: String, doc: String): FloatParam

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    ParameterConstructorMethods
  59. val foldAssignment: NullableStringParam

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    Attributes
    protected
  60. val foldCol: NullableStringParam

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    Attributes
    protected
  61. val forceLoadBalance: BooleanParam

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

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    Definition Classes
    Params
  63. def getActivation(): String

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  64. def getAdaptiveRate(): Boolean

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  65. def getAnomalyPredictionColSchema(): Seq[StructField]

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    Definition Classes
    H2OMOJOPredictionAnomaly
  66. def getAnomalyPredictionSchema(): StructType

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    Definition Classes
    H2OMOJOPredictionAnomaly
  67. def getAnomalyPredictionUDF(): UserDefinedFunction

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    Definition Classes
    H2OMOJOPredictionAnomaly
  68. def getAucType(): String

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  69. def getAutoEncoderPredictionColSchema(): Seq[StructField]

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    Definition Classes
    H2OMOJOPredictionAutoEncoder
  70. def getAutoEncoderPredictionSchema(): StructType

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    Definition Classes
    H2OMOJOPredictionAutoEncoder
  71. def getAutoEncoderPredictionUDF(): UserDefinedFunction

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    Definition Classes
    H2OMOJOPredictionAutoEncoder
  72. def getAutoencoder(): Boolean

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  73. def getAverageActivation(): Double

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  74. def getBalanceClasses(): Boolean

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  75. def getBinomialPredictionColSchema(): Seq[StructField]

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    Definition Classes
    H2OMOJOPredictionBinomial
  76. def getBinomialPredictionSchema(): StructType

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    Definition Classes
    H2OMOJOPredictionBinomial
  77. def getBinomialPredictionUDF(): UserDefinedFunction

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    Definition Classes
    H2OMOJOPredictionBinomial
  78. def getCategoricalEncoding(): String

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

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    Definition Classes
    AnyRef → Any
  80. def getClassSamplingFactors(): Array[Float]

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  81. def getClassificationStop(): Double

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  82. def getClusteringPredictionColSchema(): Seq[StructField]

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    Definition Classes
    H2OMOJOPredictionClustering
  83. def getClusteringPredictionSchema(): StructType

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    Definition Classes
    H2OMOJOPredictionClustering
  84. def getClusteringPredictionUDF(): UserDefinedFunction

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    Definition Classes
    H2OMOJOPredictionClustering
  85. def getContributionsSchema(model: EasyPredictModelWrapper): DataType

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    Attributes
    protected
    Definition Classes
    PredictionWithContributions
  86. def getConvertInvalidNumbersToNa(): Boolean

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    Definition Classes
    H2OBaseMOJOParams
  87. def getConvertUnknownCategoricalLevelsToNa(): Boolean

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    Definition Classes
    H2OBaseMOJOParams
  88. def getCrossValidationMetrics(): Map[String, Double]

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    Definition Classes
    H2OMOJOModel
  89. def getCurrentMetrics(): Map[String, Double]

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    Definition Classes
    H2OMOJOModel
  90. final def getDefault[T](param: Param[T]): Option[T]

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    Definition Classes
    Params
  91. def getDetailedPredictionCol(): String

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    Definition Classes
    H2OBaseMOJOParams
  92. def getDetailedPredictionColSchema(): Seq[StructField]

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    Definition Classes
    H2OMOJOPrediction
  93. def getDiagnostics(): Boolean

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  94. def getDimReductionPredictionColSchema(): Seq[StructField]

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  95. def getDimReductionPredictionSchema(): StructType

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  96. def getDimReductionPredictionUDF(): UserDefinedFunction

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  97. def getDistribution(): String

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  98. def getDomainValues(): Map[String, Array[String]]

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    Definition Classes
    H2OMOJOModel
  99. def getElasticAveraging(): Boolean

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  100. def getElasticAveragingMovingRate(): Double

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  101. def getElasticAveragingRegularization(): Double

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  102. def getEpochs(): Double

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  103. def getEpsilon(): Double

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  104. def getExportCheckpointsDir(): String

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  105. def getExportWeightsAndBiases(): Boolean

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  106. def getFastMode(): Boolean

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  107. def getFeatureTypes(): Map[String, String]

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    Definition Classes
    H2OMOJOModelBase
  108. def getFeaturesCols(): Array[String]

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    Definition Classes
    H2OBaseMOJOParams
  109. def getFoldAssignment(): String

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  110. def getFoldCol(): String

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  111. def getForceLoadBalance(): Boolean

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  112. def getHidden(): Array[Int]

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  113. def getHiddenDropoutRatios(): Array[Double]

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  114. def getHuberAlpha(): Double

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  115. def getIgnoreConstCols(): Boolean

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  116. def getIgnoredCols(): Array[String]

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    Definition Classes
    HasIgnoredColsOnMOJO
  117. def getInitialWeightDistribution(): String

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  118. def getInitialWeightScale(): Double

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  119. def getInputDropoutRatio(): Double

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  120. def getKeepCrossValidationFoldAssignment(): Boolean

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  121. def getKeepCrossValidationModels(): Boolean

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  122. def getKeepCrossValidationPredictions(): Boolean

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  123. def getL1(): Double

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  124. def getL2(): Double

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  125. def getLabelCol(): String

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  126. def getLoss(): String

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  127. def getMaxAfterBalanceSize(): Float

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  128. def getMaxCategoricalFeatures(): Int

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  129. def getMaxRuntimeSecs(): Double

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  130. def getMaxW2(): Float

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  131. def getMiniBatchSize(): Int

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  132. def getMissingValuesHandling(): String

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  133. def getModelCategory(): String

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    Definition Classes
    H2OMOJOModel
  134. def getModelDetails(): String

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    Definition Classes
    H2OMOJOModel
  135. def getMojo(): File

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    Attributes
    protected
    Definition Classes
    HasMojo
  136. def getMomentumRamp(): Double

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  137. def getMomentumStable(): Double

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  138. def getMomentumStart(): Double

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  139. def getMultinomialPredictionColSchema(): Seq[StructField]

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    Definition Classes
    H2OMOJOPredictionMultinomial
  140. def getMultinomialPredictionSchema(): StructType

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    Definition Classes
    H2OMOJOPredictionMultinomial
  141. def getMultinomialPredictionUDF(): UserDefinedFunction

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    Definition Classes
    H2OMOJOPredictionMultinomial
  142. def getNamedMojoOutputColumns(): Boolean

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    Definition Classes
    H2OBaseMOJOParams
  143. def getNesterovAcceleratedGradient(): Boolean

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  144. def getNfolds(): Int

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  145. def getOffsetCol(): String

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    Definition Classes
    H2OSupervisedMOJOParams
  146. final def getOrDefault[T](param: Param[T]): T

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    Definition Classes
    Params
  147. def getOrdinalPredictionColSchema(): Seq[StructField]

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    Definition Classes
    H2OMOJOPredictionOrdinal
  148. def getOrdinalPredictionSchema(): StructType

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    Definition Classes
    H2OMOJOPredictionOrdinal
  149. def getOrdinalPredictionUDF(): UserDefinedFunction

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    Definition Classes
    H2OMOJOPredictionOrdinal
  150. def getOverwriteWithBestModel(): Boolean

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

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    Definition Classes
    Params
  152. def getPredictionCol(): String

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    Definition Classes
    H2OBaseMOJOParams
  153. def getPredictionColSchema(): Seq[StructField]

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    Definition Classes
    H2OMOJOPrediction
  154. def getPredictionSchema(): StructType

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    Definition Classes
    H2OMOJOPrediction
  155. def getPredictionUDF(): UserDefinedFunction

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    Definition Classes
    H2OMOJOPrediction
  156. def getQuantileAlpha(): Double

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  157. def getQuietMode(): Boolean

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  158. def getRate(): Double

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  159. def getRateAnnealing(): Double

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  160. def getRateDecay(): Double

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  161. def getRegressionPredictionColSchema(): Seq[StructField]

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    Definition Classes
    H2OMOJOPredictionRegression
  162. def getRegressionPredictionSchema(): StructType

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    Definition Classes
    H2OMOJOPredictionRegression
  163. def getRegressionPredictionUDF(): UserDefinedFunction

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    Definition Classes
    H2OMOJOPredictionRegression
  164. def getRegressionStop(): Double

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  165. def getRelevantColumnNames(flatDataFrame: DataFrame, inputs: Array[String]): Array[String]

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    Attributes
    protected
    Definition Classes
    H2OMOJOFlattenedInput
  166. def getReplicateTrainingData(): Boolean

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  167. def getReproducible(): Boolean

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  168. def getRho(): Double

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  169. def getScoreDutyCycle(): Double

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  170. def getScoreEachIteration(): Boolean

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  171. def getScoreInterval(): Double

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  172. def getScoreTrainingSamples(): Long

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  173. def getScoreValidationSamples(): Long

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  174. def getScoreValidationSampling(): String

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  175. def getSeed(): Long

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  176. def getShuffleTrainingData(): Boolean

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  177. def getSingleNodeMode(): Boolean

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  178. def getSparse(): Boolean

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  179. def getSparsityBeta(): Double

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  180. def getStageProbabilitiesSchema(model: EasyPredictModelWrapper): DataType

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    Attributes
    protected
    Definition Classes
    PredictionWithStageProbabilities
  181. def getStandardize(): Boolean

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  182. def getStoppingMetric(): String

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  183. def getStoppingRounds(): Int

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  184. def getStoppingTolerance(): Double

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  185. def getTargetRatioCommToComp(): Double

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  186. def getTrainSamplesPerIteration(): Long

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  187. def getTrainingMetrics(): Map[String, Double]

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    Definition Classes
    H2OMOJOModel
  188. def getTrainingParams(): Map[String, String]

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    Definition Classes
    H2OMOJOModel
    Annotations
    @DeprecatedMethod( ... , "3.34" )
  189. def getTweediePower(): Double

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  190. def getUseAllFactorLevels(): Boolean

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  191. def getValidationMetrics(): Map[String, Double]

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    Definition Classes
    H2OMOJOModel
  192. def getVariableImportances(): Boolean

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  193. def getWeightCol(): String

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  194. def getWithContributions(): Boolean

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    Definition Classes
    H2OBaseMOJOParams
  195. def getWithDetailedPredictionCol(): Boolean

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    Definition Classes
    H2OBaseMOJOParams
    Annotations
    @DeprecatedMethod( x$2 , x$1 )
  196. def getWithLeafNodeAssignments(): Boolean

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    Definition Classes
    H2OBaseMOJOParams
  197. def getWithStageResults(): Boolean

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    Definition Classes
    H2OBaseMOJOParams
  198. def getWordEmbeddingPredictionColSchema(): Seq[StructField]

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  199. def getWordEmbeddingPredictionSchema(): StructType

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  200. def getWordEmbeddingPredictionUDF(): UserDefinedFunction

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

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    Definition Classes
    Params
  202. def hasParam(paramName: String): Boolean

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    Definition Classes
    Params
  203. def hasParent: Boolean

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    Definition Classes
    Model
  204. def hashCode(): Int

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    Definition Classes
    AnyRef → Any
  205. val hidden: IntArrayParam

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    Attributes
    protected
  206. val hiddenDropoutRatios: NullableDoubleArrayParam

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    Attributes
    protected
  207. val huberAlpha: DoubleParam

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    Attributes
    protected
  208. val ignoreConstCols: BooleanParam

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    Attributes
    protected
  209. val initialWeightDistribution: NullableStringParam

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    Attributes
    protected
  210. val initialWeightScale: DoubleParam

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    Attributes
    protected
  211. def initializeLogIfNecessary(isInterpreter: Boolean, silent: Boolean): Boolean

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    Attributes
    protected
    Definition Classes
    Logging
  212. def initializeLogIfNecessary(isInterpreter: Boolean): Unit

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    Attributes
    protected
    Definition Classes
    Logging
  213. def inputColumnNames: Array[String]

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    Attributes
    protected
    Definition Classes
    H2OMOJOModelBaseH2OMOJOFlattenedInput
  214. val inputDropoutRatio: DoubleParam

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    Attributes
    protected
  215. def intArrayParam(name: String, doc: String): IntArrayParam

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    Definition Classes
    ParameterConstructorMethods
  216. def intParam(name: String, doc: String): IntParam

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

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    Definition Classes
    Params
  218. final def isInstanceOf[T0]: Boolean

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    Definition Classes
    Any
  219. final def isSet(param: Param[_]): Boolean

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    Definition Classes
    Params
  220. def isTraceEnabled(): Boolean

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    Attributes
    protected
    Definition Classes
    Logging
  221. val keepCrossValidationFoldAssignment: BooleanParam

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    Attributes
    protected
  222. val keepCrossValidationModels: BooleanParam

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    Attributes
    protected
  223. val keepCrossValidationPredictions: BooleanParam

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    Attributes
    protected
  224. val l1: DoubleParam

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    Attributes
    protected
  225. val l2: DoubleParam

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    protected
  226. val labelCol: Param[String]

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    Attributes
    protected
  227. def log: Logger

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    Attributes
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    Definition Classes
    Logging
  228. def logDebug(msg: ⇒ String, throwable: Throwable): Unit

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    Attributes
    protected
    Definition Classes
    Logging
  229. def logDebug(msg: ⇒ String): Unit

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    Attributes
    protected
    Definition Classes
    Logging
  230. def logError(msg: ⇒ String, throwable: Throwable): Unit

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    Attributes
    protected
    Definition Classes
    Logging
  231. def logError(msg: ⇒ String): Unit

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    Attributes
    protected
    Definition Classes
    Logging
  232. def logInfo(msg: ⇒ String, throwable: Throwable): Unit

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    Attributes
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    Definition Classes
    Logging
  233. def logInfo(msg: ⇒ String): Unit

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    Attributes
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    Definition Classes
    Logging
  234. def logName: String

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    protected
    Definition Classes
    Logging
  235. def logTrace(msg: ⇒ String, throwable: Throwable): Unit

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    Attributes
    protected
    Definition Classes
    Logging
  236. def logTrace(msg: ⇒ String): Unit

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    Attributes
    protected
    Definition Classes
    Logging
  237. def logWarning(msg: ⇒ String, throwable: Throwable): Unit

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    Attributes
    protected
    Definition Classes
    Logging
  238. def logWarning(msg: ⇒ String): Unit

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    Attributes
    protected
    Definition Classes
    Logging
  239. def longParam(name: String, doc: String): LongParam

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    Definition Classes
    ParameterConstructorMethods
  240. val loss: NullableStringParam

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    protected
  241. val maxAfterBalanceSize: FloatParam

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    Attributes
    protected
  242. val maxCategoricalFeatures: IntParam

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    Attributes
    protected
  243. val maxRuntimeSecs: DoubleParam

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    Attributes
    protected
  244. val maxW2: FloatParam

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    Attributes
    protected
  245. val miniBatchSize: IntParam

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  246. val missingValuesHandling: NullableStringParam

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  247. final val modelCategory: NullableStringParam

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    H2OMOJOModel
  248. final val modelDetails: NullableStringParam

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    H2OMOJOModel
  249. val momentumRamp: DoubleParam

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  250. val momentumStable: DoubleParam

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  251. val momentumStart: DoubleParam

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  252. final val namedMojoOutputColumns: Param[Boolean]

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    H2OBaseMOJOParams
  253. final def ne(arg0: AnyRef): Boolean

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  254. val nesterovAcceleratedGradient: BooleanParam

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  255. val nfolds: IntParam

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  256. final def notify(): Unit

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  257. final def notifyAll(): Unit

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

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

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

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

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

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

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

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

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  266. def outputColumnName: String

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    H2OMOJOModelH2OMOJOModelBaseH2OMOJOFlattenedInput
  267. val overwriteWithBestModel: BooleanParam

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

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

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  270. var parent: Estimator[H2OMOJOModel]

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    Definition Classes
    Model
  271. final val predictionCol: Param[String]

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    H2OBaseMOJOParams
  272. val quantileAlpha: DoubleParam

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  273. val quietMode: BooleanParam

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  274. val rate: DoubleParam

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  275. val rateAnnealing: DoubleParam

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  276. val rateDecay: DoubleParam

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  277. val regressionStop: DoubleParam

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  278. val replicateTrainingData: BooleanParam

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  279. val reproducible: BooleanParam

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  280. val rho: DoubleParam

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  281. def save(path: String): Unit

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    MLWritable
    Annotations
    @Since( "1.6.0" ) @throws( ... )
  282. val scoreDutyCycle: DoubleParam

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  283. val scoreEachIteration: BooleanParam

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  284. val scoreInterval: DoubleParam

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  285. val scoreTrainingSamples: LongParam

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  286. val scoreValidationSamples: LongParam

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  287. val scoreValidationSampling: NullableStringParam

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  288. val seed: LongParam

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  289. final def set(paramPair: ParamPair[_]): H2ODeepLearningMOJOModel.this.type

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  290. final def set(param: String, value: Any): H2ODeepLearningMOJOModel.this.type

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  291. final def set[T](param: Param[T], value: T): H2ODeepLearningMOJOModel.this.type

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  292. final def setDefault(paramPairs: ParamPair[_]*): H2ODeepLearningMOJOModel.this.type

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  293. final def setDefault[T](param: Param[T], value: T): H2ODeepLearningMOJOModel.this.type

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  294. def setMojo(mojo: File): H2ODeepLearningMOJOModel.this.type

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    Definition Classes
    HasMojo
  295. def setMojo(mojo: InputStream, mojoName: String): H2ODeepLearningMOJOModel.this.type

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    Definition Classes
    HasMojo
  296. def setMojo(mojo: InputStream): H2ODeepLearningMOJOModel.this.type

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    Definition Classes
    HasMojo
  297. def setParent(parent: Estimator[H2OMOJOModel]): H2OMOJOModel

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    Model
  298. val shuffleTrainingData: BooleanParam

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  299. val singleNodeMode: BooleanParam

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  300. val sparse: BooleanParam

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  301. val sparsityBeta: DoubleParam

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  302. val standardize: BooleanParam

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  303. val stoppingMetric: NullableStringParam

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  304. val stoppingRounds: IntParam

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  305. val stoppingTolerance: DoubleParam

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

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

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

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  309. val targetRatioCommToComp: DoubleParam

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  310. def toString(): String

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  311. val trainSamplesPerIteration: LongParam

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  312. final val trainingMetrics: MapStringDoubleParam

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    H2OMOJOModel
  313. final val trainingParams: MapStringStringParam

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  314. def transform(dataset: Dataset[_]): DataFrame

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  315. def transform(dataset: Dataset[_], paramMap: ParamMap): DataFrame

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    Transformer
    Annotations
    @Since( "2.0.0" )
  316. def transform(dataset: Dataset[_], firstParamPair: ParamPair[_], otherParamPairs: ParamPair[_]*): DataFrame

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    Transformer
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    @Since( "2.0.0" ) @varargs()
  317. def transformSchema(schema: StructType): StructType

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    Annotations
    @DeveloperApi()
  318. def transformSchema(schema: StructType, logging: Boolean): StructType

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  319. val tweediePower: DoubleParam

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  320. val uid: String

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  321. val useAllFactorLevels: BooleanParam

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  322. final val validationMetrics: MapStringDoubleParam

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  323. val variableImportances: BooleanParam

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  324. final def wait(): Unit

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

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

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  327. val weightCol: NullableStringParam

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  328. final val withContributions: BooleanParam

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    H2OBaseMOJOParams
  329. final val withDetailedPredictionCol: BooleanParam

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  330. final val withLeafNodeAssignments: BooleanParam

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  331. final val withStageResults: BooleanParam

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  332. def write: MLWriter

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Inherited from HasIgnoredColsOnMOJO

Inherited from H2OSupervisedMOJOModel

Inherited from H2OSupervisedMOJOParams

Inherited from H2OMOJOModel

Inherited from SpecificMOJOParameters

Inherited from H2OMOJOPrediction

Inherited from H2OMOJOPredictionOrdinal

Inherited from H2OMOJOPredictionBinomial

Inherited from H2OMOJOPredictionAnomaly

Inherited from H2OMOJOModelBase[H2OMOJOModel]

Inherited from H2OMOJOFlattenedInput

Inherited from H2OMOJOWritable

Inherited from MLWritable

Inherited from HasMojo

Inherited from H2OBaseMOJOParams

Inherited from Logging

Inherited from Model[H2OMOJOModel]

Inherited from Transformer

Inherited from PipelineStage

Inherited from Logging

Inherited from Params

Inherited from Serializable

Inherited from Serializable

Inherited from Identifiable

Inherited from AnyRef

Inherited from Any

Ungrouped