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 autoencoder: BooleanParam

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    Attributes
    protected
  11. val averageActivation: DoubleParam

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    Attributes
    protected
  12. val balanceClasses: BooleanParam

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

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    Attributes
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    Definition Classes
    ParameterConstructorMethods
  14. val categoricalEncoding: NullableStringParam

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    Attributes
    protected
  15. val classSamplingFactors: NullableFloatArrayParam

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    Attributes
    protected
  16. val classificationStop: DoubleParam

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

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    Definition Classes
    Params
  18. def clone(): AnyRef

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

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

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

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

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    Attributes
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    Definition Classes
    Params
  23. final val crossValidationMetrics: MapStringDoubleParam

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

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

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    Attributes
    protected
    Definition Classes
    H2OBaseMOJOParams
  26. val diagnostics: BooleanParam

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    Attributes
    protected
  27. val distribution: NullableStringParam

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

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

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    Attributes
    protected
    Definition Classes
    ParameterConstructorMethods
  30. val elasticAveraging: BooleanParam

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    Attributes
    protected
  31. val elasticAveragingMovingRate: DoubleParam

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    Attributes
    protected
  32. val elasticAveragingRegularization: DoubleParam

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    Attributes
    protected
  33. val epochs: DoubleParam

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    Attributes
    protected
  34. val epsilon: DoubleParam

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

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

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

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    Definition Classes
    Params
  38. def explainParams(): String

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    Definition Classes
    Params
  39. val exportCheckpointsDir: NullableStringParam

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    Attributes
    protected
  40. val exportWeightsAndBiases: BooleanParam

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    Attributes
    protected
  41. def extractAnomalyPredictionColContent(): Column

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    Definition Classes
    H2OMOJOPredictionAnomaly
  42. def extractAutoEncoderPredictionColContent(): Column

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    Definition Classes
    H2OMOJOPredictionAutoEncoder
  43. def extractBinomialPredictionColContent(): Column

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    Definition Classes
    H2OMOJOPredictionBinomial
  44. def extractClusteringPredictionColContent(): Column

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    Definition Classes
    H2OMOJOPredictionClustering
  45. def extractDimReductionSimplePredictionColContent(): Column

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  46. def extractMultinomialPredictionColContent(): Column

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    Definition Classes
    H2OMOJOPredictionMultinomial
  47. def extractOrdinalPredictionColContent(): Column

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

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

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    Definition Classes
    Params
  50. def extractPredictionColContent(): Column

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    Definition Classes
    H2OMOJOPrediction
  51. def extractRegressionPredictionColContent(): Column

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    Definition Classes
    H2OMOJOPredictionRegression
  52. def extractWordEmbeddingPredictionColContent(): Column

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  53. val fastMode: BooleanParam

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    Attributes
    protected
  54. final val featureTypes: MapStringStringParam

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    Attributes
    protected
    Definition Classes
    H2OMOJOModelBase
  55. final val featuresCols: StringArrayParam

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

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

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    Attributes
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    ParameterConstructorMethods
  58. val foldAssignment: NullableStringParam

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    Attributes
    protected
  59. val foldCol: NullableStringParam

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    Attributes
    protected
  60. val forceLoadBalance: BooleanParam

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

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    Definition Classes
    Params
  62. def getActivation(): String

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  63. def getAdaptiveRate(): Boolean

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  64. def getAnomalyPredictionColSchema(): Seq[StructField]

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    Definition Classes
    H2OMOJOPredictionAnomaly
  65. def getAnomalyPredictionSchema(): StructType

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    Definition Classes
    H2OMOJOPredictionAnomaly
  66. def getAnomalyPredictionUDF(): UserDefinedFunction

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    Definition Classes
    H2OMOJOPredictionAnomaly
  67. def getAutoEncoderPredictionColSchema(): Seq[StructField]

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    Definition Classes
    H2OMOJOPredictionAutoEncoder
  68. def getAutoEncoderPredictionSchema(): StructType

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    Definition Classes
    H2OMOJOPredictionAutoEncoder
  69. def getAutoEncoderPredictionUDF(): UserDefinedFunction

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    Definition Classes
    H2OMOJOPredictionAutoEncoder
  70. def getAutoencoder(): Boolean

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  71. def getAverageActivation(): Double

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  72. def getBalanceClasses(): Boolean

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  73. def getBinomialPredictionColSchema(): Seq[StructField]

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    Definition Classes
    H2OMOJOPredictionBinomial
  74. def getBinomialPredictionSchema(): StructType

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    Definition Classes
    H2OMOJOPredictionBinomial
  75. def getBinomialPredictionUDF(): UserDefinedFunction

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    Definition Classes
    H2OMOJOPredictionBinomial
  76. def getCategoricalEncoding(): String

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

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

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  79. def getClassificationStop(): Double

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  80. def getClusteringPredictionColSchema(): Seq[StructField]

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    Definition Classes
    H2OMOJOPredictionClustering
  81. def getClusteringPredictionSchema(): StructType

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    Definition Classes
    H2OMOJOPredictionClustering
  82. def getClusteringPredictionUDF(): UserDefinedFunction

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

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

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    Definition Classes
    H2OBaseMOJOParams
  85. def getConvertUnknownCategoricalLevelsToNa(): Boolean

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

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

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

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    Definition Classes
    Params
  89. def getDetailedPredictionCol(): String

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

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    Definition Classes
    H2OMOJOPrediction
  91. def getDiagnostics(): Boolean

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  92. def getDimReductionPredictionColSchema(): Seq[StructField]

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  93. def getDimReductionPredictionSchema(): StructType

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  94. def getDimReductionPredictionUDF(): UserDefinedFunction

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  95. def getDistribution(): String

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

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    Definition Classes
    H2OMOJOModel
  97. def getElasticAveraging(): Boolean

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  98. def getElasticAveragingMovingRate(): Double

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  99. def getElasticAveragingRegularization(): Double

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  100. def getEpochs(): Double

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  101. def getEpsilon(): Double

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  102. def getExportCheckpointsDir(): String

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  103. def getExportWeightsAndBiases(): Boolean

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  104. def getFastMode(): Boolean

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

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

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    Definition Classes
    H2OBaseMOJOParams
  107. def getFoldAssignment(): String

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  108. def getFoldCol(): String

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  109. def getForceLoadBalance(): Boolean

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  110. def getHidden(): Array[Int]

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  111. def getHiddenDropoutRatios(): Array[Double]

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  112. def getHuberAlpha(): Double

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  113. def getIgnoreConstCols(): Boolean

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  114. def getIgnoredCols(): Array[String]

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    Definition Classes
    HasIgnoredColsOnMOJO
  115. def getInitialWeightDistribution(): String

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  116. def getInitialWeightScale(): Double

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  117. def getInputDropoutRatio(): Double

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  118. def getKeepCrossValidationFoldAssignment(): Boolean

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  119. def getKeepCrossValidationModels(): Boolean

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  120. def getKeepCrossValidationPredictions(): Boolean

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  121. def getL1(): Double

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  122. def getL2(): Double

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  123. def getLabelCol(): String

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  124. def getLoss(): String

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  125. def getMaxAfterBalanceSize(): Float

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  126. def getMaxCategoricalFeatures(): Int

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  127. def getMaxRuntimeSecs(): Double

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  128. def getMaxW2(): Float

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  129. def getMiniBatchSize(): Int

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  130. def getMissingValuesHandling(): String

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  131. def getModelCategory(): String

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    Definition Classes
    H2OMOJOModel
  132. def getModelDetails(): String

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    Definition Classes
    H2OMOJOModel
  133. def getMojo(): File

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

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  135. def getMomentumStable(): Double

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  136. def getMomentumStart(): Double

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  137. def getMultinomialPredictionColSchema(): Seq[StructField]

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    Definition Classes
    H2OMOJOPredictionMultinomial
  138. def getMultinomialPredictionSchema(): StructType

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    Definition Classes
    H2OMOJOPredictionMultinomial
  139. def getMultinomialPredictionUDF(): UserDefinedFunction

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    Definition Classes
    H2OMOJOPredictionMultinomial
  140. def getNamedMojoOutputColumns(): Boolean

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    Definition Classes
    H2OBaseMOJOParams
  141. def getNesterovAcceleratedGradient(): Boolean

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  142. def getNfolds(): Int

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  143. def getOffsetCol(): String

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

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

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    Definition Classes
    H2OMOJOPredictionOrdinal
  146. def getOrdinalPredictionSchema(): StructType

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    Definition Classes
    H2OMOJOPredictionOrdinal
  147. def getOrdinalPredictionUDF(): UserDefinedFunction

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    Definition Classes
    H2OMOJOPredictionOrdinal
  148. def getOverwriteWithBestModel(): Boolean

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

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    Definition Classes
    Params
  150. def getPredictionCol(): String

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

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    Definition Classes
    H2OMOJOPrediction
  152. def getPredictionSchema(): StructType

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    Definition Classes
    H2OMOJOPrediction
  153. def getPredictionUDF(): UserDefinedFunction

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    Definition Classes
    H2OMOJOPrediction
  154. def getQuantileAlpha(): Double

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  155. def getQuietMode(): Boolean

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  156. def getRate(): Double

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  157. def getRateAnnealing(): Double

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  158. def getRateDecay(): Double

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  159. def getRegressionPredictionColSchema(): Seq[StructField]

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    Definition Classes
    H2OMOJOPredictionRegression
  160. def getRegressionPredictionSchema(): StructType

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    Definition Classes
    H2OMOJOPredictionRegression
  161. def getRegressionPredictionUDF(): UserDefinedFunction

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    Definition Classes
    H2OMOJOPredictionRegression
  162. def getRegressionStop(): Double

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

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

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  165. def getReproducible(): Boolean

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  166. def getRho(): Double

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  167. def getScoreDutyCycle(): Double

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  168. def getScoreEachIteration(): Boolean

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  169. def getScoreInterval(): Double

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  170. def getScoreTrainingSamples(): Long

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  171. def getScoreValidationSamples(): Long

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  172. def getScoreValidationSampling(): String

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  173. def getSeed(): Long

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  174. def getShuffleTrainingData(): Boolean

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  175. def getSingleNodeMode(): Boolean

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  176. def getSparse(): Boolean

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  177. def getSparsityBeta(): Double

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  178. def getStageProbabilitiesSchema(model: EasyPredictModelWrapper): DataType

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

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  180. def getStoppingMetric(): String

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  181. def getStoppingRounds(): Int

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  182. def getStoppingTolerance(): Double

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  183. def getTargetRatioCommToComp(): Double

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  184. def getTrainSamplesPerIteration(): Long

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

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

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

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  188. def getUseAllFactorLevels(): Boolean

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

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    Definition Classes
    H2OMOJOModel
  190. def getVariableImportances(): Boolean

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  191. def getWeightCol(): String

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  192. def getWithContributions(): Boolean

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    Definition Classes
    H2OBaseMOJOParams
  193. def getWithDetailedPredictionCol(): Boolean

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

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    Definition Classes
    H2OBaseMOJOParams
  195. def getWithStageResults(): Boolean

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

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  197. def getWordEmbeddingPredictionSchema(): StructType

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  198. def getWordEmbeddingPredictionUDF(): UserDefinedFunction

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

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

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    Definition Classes
    Params
  201. def hasParent: Boolean

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    Definition Classes
    Model
  202. def hashCode(): Int

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    Definition Classes
    AnyRef → Any
  203. val hidden: IntArrayParam

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    Attributes
    protected
  204. val hiddenDropoutRatios: NullableDoubleArrayParam

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    Attributes
    protected
  205. val huberAlpha: DoubleParam

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    Attributes
    protected
  206. val ignoreConstCols: BooleanParam

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    Attributes
    protected
  207. val initialWeightDistribution: NullableStringParam

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    protected
  208. val initialWeightScale: DoubleParam

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    Attributes
    protected
  209. def initializeLogIfNecessary(isInterpreter: Boolean): Unit

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

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    Attributes
    protected
    Definition Classes
    H2OMOJOModelBaseH2OMOJOFlattenedInput
  211. val inputDropoutRatio: DoubleParam

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

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    protected
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    ParameterConstructorMethods
  213. def intParam(name: String, doc: String): IntParam

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

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

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

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    Definition Classes
    Params
  217. def isTraceEnabled(): Boolean

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    Attributes
    protected
    Definition Classes
    Logging
  218. val keepCrossValidationFoldAssignment: BooleanParam

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    Attributes
    protected
  219. val keepCrossValidationModels: BooleanParam

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    Attributes
    protected
  220. val keepCrossValidationPredictions: BooleanParam

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    Attributes
    protected
  221. val l1: DoubleParam

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  222. val l2: DoubleParam

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    Attributes
    protected
  223. val labelCol: Param[String]

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    Attributes
    protected
  224. def log: Logger

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

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

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

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

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

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

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    Attributes
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    Definition Classes
    Logging
  231. def logName: String

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

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

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

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

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

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    ParameterConstructorMethods
  237. val loss: NullableStringParam

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    Attributes
    protected
  238. val maxAfterBalanceSize: FloatParam

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    Attributes
    protected
  239. val maxCategoricalFeatures: IntParam

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    Attributes
    protected
  240. val maxRuntimeSecs: DoubleParam

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    Attributes
    protected
  241. val maxW2: FloatParam

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    protected
  242. val miniBatchSize: IntParam

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    Attributes
    protected
  243. val missingValuesHandling: NullableStringParam

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    Attributes
    protected
  244. final val modelCategory: NullableStringParam

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    Attributes
    protected
    Definition Classes
    H2OMOJOModel
  245. final val modelDetails: NullableStringParam

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    H2OMOJOModel
  246. val momentumRamp: DoubleParam

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  247. val momentumStable: DoubleParam

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  248. val momentumStart: DoubleParam

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  249. final val namedMojoOutputColumns: Param[Boolean]

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

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  251. val nesterovAcceleratedGradient: BooleanParam

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  252. val nfolds: IntParam

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  253. final def notify(): Unit

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  254. final def notifyAll(): Unit

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

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

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

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

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

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

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

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

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  263. def outputColumnName: String

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    H2OMOJOModelH2OMOJOModelBaseH2OMOJOFlattenedInput
  264. val overwriteWithBestModel: BooleanParam

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

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

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    Params
  267. var parent: Estimator[H2OMOJOModel]

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

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    H2OBaseMOJOParams
  269. val quantileAlpha: DoubleParam

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  270. val quietMode: BooleanParam

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  271. val rate: DoubleParam

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  272. val rateAnnealing: DoubleParam

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  273. val rateDecay: DoubleParam

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  274. val regressionStop: DoubleParam

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  275. val replicateTrainingData: BooleanParam

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  276. val reproducible: BooleanParam

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  277. val rho: DoubleParam

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  278. def save(path: String): Unit

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

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  280. val scoreEachIteration: BooleanParam

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  281. val scoreInterval: DoubleParam

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  282. val scoreTrainingSamples: LongParam

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  283. val scoreValidationSamples: LongParam

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  284. val scoreValidationSampling: NullableStringParam

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  285. val seed: LongParam

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

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

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

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

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

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

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

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

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

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    Model
  295. val shuffleTrainingData: BooleanParam

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  296. val singleNodeMode: BooleanParam

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  297. val sparse: BooleanParam

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  298. val sparsityBeta: DoubleParam

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  299. val standardize: BooleanParam

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  300. val stoppingMetric: NullableStringParam

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  301. val stoppingRounds: IntParam

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  302. val stoppingTolerance: DoubleParam

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

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

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

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  306. val targetRatioCommToComp: DoubleParam

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  307. def toString(): String

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  308. val trainSamplesPerIteration: LongParam

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  309. final val trainingMetrics: MapStringDoubleParam

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    H2OMOJOModel
  310. final val trainingParams: MapStringStringParam

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    H2OMOJOModel
  311. def transform(dataset: Dataset[_]): DataFrame

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

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

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

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

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  316. val tweediePower: DoubleParam

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  317. val uid: String

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  318. val useAllFactorLevels: BooleanParam

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  319. final val validationMetrics: MapStringDoubleParam

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  320. val variableImportances: BooleanParam

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  321. final def wait(): Unit

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

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

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  324. val weightCol: NullableStringParam

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  325. final val withContributions: BooleanParam

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    H2OBaseMOJOParams
  326. final val withDetailedPredictionCol: BooleanParam

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  327. final val withLeafNodeAssignments: BooleanParam

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  328. final val withStageResults: BooleanParam

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  329. def write: MLWriter

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    Definition Classes
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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