Class/Object

ai.h2o.sparkling.ml.models

H2OAutoEncoderMOJOModel

Related Docs: object H2OAutoEncoderMOJOModel | package models

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class H2OAutoEncoderMOJOModel extends H2OFeatureMOJOModel with H2OAutoEncoderMOJOBase with ParameterConstructorMethods with Logging with HasIgnoredColsOnMOJO

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Inherited
  1. H2OAutoEncoderMOJOModel
  2. HasIgnoredColsOnMOJO
  3. H2OAutoEncoderMOJOBase
  4. H2OAutoEncoderExtraParams
  5. HasInputColsOnMOJO
  6. ParameterConstructorMethods
  7. HasOutputCol
  8. H2OFeatureMOJOModel
  9. H2OFeatureEstimatorBase
  10. H2OMOJOModel
  11. HasFeatureTypesOnMOJO
  12. H2OBaseMOJOParams
  13. HasDataFrameSerializer
  14. SpecificMOJOParameters
  15. H2OMOJOModelUtils
  16. Logging
  17. H2OMOJOWritable
  18. MLWritable
  19. HasMojo
  20. H2OMOJOFlattenedInput
  21. Model
  22. Transformer
  23. PipelineStage
  24. Logging
  25. Params
  26. Serializable
  27. Serializable
  28. Identifiable
  29. AnyRef
  30. Any
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Visibility
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Instance Constructors

  1. new H2OAutoEncoderMOJOModel(uid: String)

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Type Members

  1. class SerializationWarningsObject extends Serializable

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    Definition Classes
    H2OMOJOModel

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
    H2OMOJOModelH2OMOJOFlattenedInput
  9. final def asInstanceOf[T0]: T0

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    Definition Classes
    Any
  10. val averageActivation: DoubleParam

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

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    Attributes
    protected
    Definition Classes
    ParameterConstructorMethods
  12. val calculateFeatureImportances: BooleanParam

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    Attributes
    protected
  13. val categoricalEncoding: NullableStringParam

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    Attributes
    protected
  14. final def clear(param: Param[_]): H2OAutoEncoderMOJOModel.this.type

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    Definition Classes
    Params
  15. def clone(): AnyRef

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    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  16. final val coefficients: NullableDataFrameParam

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    Attributes
    protected
    Definition Classes
    H2OMOJOModel
  17. final val convertInvalidNumbersToNa: BooleanParam

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

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    Attributes
    protected
    Definition Classes
    H2OBaseMOJOParams
  19. def copy(extra: ParamMap): H2OFeatureMOJOModel

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    Definition Classes
    H2OFeatureMOJOModelH2OMOJOModel → Model → Transformer → PipelineStage → Params
  20. def copyExtraParams(to: H2OAutoEncoderExtraParams): Unit

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    Attributes
    protected
    Definition Classes
    H2OAutoEncoderExtraParams
  21. def copyValues[T <: Params](to: T, extra: ParamMap): T

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    Attributes
    protected
    Definition Classes
    Params
  22. final val crossValidationMetrics: MapStringDoubleParam

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    Attributes
    protected
    Definition Classes
    H2OMOJOModel
  23. final val crossValidationMetricsObject: NullableMetricsParam

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    Attributes
    protected
    Definition Classes
    H2OMOJOModel
  24. final val crossValidationMetricsSummary: NullableDataFrameParam

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    Attributes
    protected
    Definition Classes
    H2OMOJOModel
  25. var crossValidationModels: Array[H2OMOJOModel]

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    Attributes
    protected
    Definition Classes
    H2OMOJOModel
  26. var crossValidationModelsScoringHistory: NullableDataFrameArrayParam

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    Attributes
    protected
    Definition Classes
    H2OMOJOModel
  27. final val dataFrameSerializer: Param[String]

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

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    Attributes
    protected
    Definition Classes
    Params
  29. final val defaultThreshold: DoubleParam

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    Attributes
    protected
    Definition Classes
    H2OMOJOModel
  30. val diagnostics: BooleanParam

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

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

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    Attributes
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    Definition Classes
    ParameterConstructorMethods
  33. val elasticAveraging: BooleanParam

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    Attributes
    protected
  34. val elasticAveragingMovingRate: DoubleParam

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    Attributes
    protected
  35. val elasticAveragingRegularization: DoubleParam

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    Attributes
    protected
  36. final val endTime: LongParam

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    Attributes
    protected
    Definition Classes
    H2OMOJOModel
  37. val epochs: DoubleParam

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    Attributes
    protected
  38. val epsilon: DoubleParam

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

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

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

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    Definition Classes
    Params
  42. def explainParams(): String

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    Definition Classes
    Params
  43. val exportCheckpointsDir: NullableStringParam

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    Attributes
    protected
  44. val exportWeightsAndBiases: BooleanParam

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    Attributes
    protected
  45. def extractCoefficients(outputJson: JsonObject): DataFrame

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    Attributes
    protected
    Definition Classes
    H2OMOJOModelUtils
  46. def extractCrossValidationMetricsSummary(modelJson: JsonObject): DataFrame

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    Attributes
    protected
    Definition Classes
    H2OMOJOModelUtils
  47. def extractFeatureImportances(outputJson: JsonObject): DataFrame

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    Attributes
    protected
    Definition Classes
    H2OMOJOModelUtils
  48. def extractFeatureTypes(outputJson: JsonObject): Map[String, String]

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    Attributes
    protected
    Definition Classes
    H2OMOJOModelUtils
  49. def extractJsonFieldValue[T](outputJson: JsonObject, fieldName: String, getValue: (JsonElement) ⇒ T, defaultValue: T): T

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    Attributes
    protected
    Definition Classes
    H2OMOJOModelUtils
  50. def extractJsonTables(outputJson: JsonObject, fieldName: String): Array[DataFrame]

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    Attributes
    protected
    Definition Classes
    H2OMOJOModelUtils
  51. def extractMetrics(json: JsonObject, metricType: String): Map[String, Double]

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    Attributes
    protected
    Definition Classes
    H2OMOJOModelUtils
  52. def extractMetricsObject(json: JsonObject, metricType: String, algoName: String, modelCategory: internals.H2OModelCategory.Value, dataFrameSerializerGetter: () ⇒ String): H2OMetrics

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    Attributes
    protected
    Definition Classes
    H2OMOJOModelUtils
  53. def extractModelCategory(outputJson: JsonObject): internals.H2OModelCategory.Value

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    Attributes
    protected
    Definition Classes
    H2OMOJOModelUtils
  54. def extractModelSummary(outputJson: JsonObject): DataFrame

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    Attributes
    protected[ai.h2o.sparkling.ml.models]
    Definition Classes
    H2OMOJOModelUtils
  55. final def extractParamMap(): ParamMap

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

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    Definition Classes
    Params
  57. def extractParams(modelJson: JsonObject): Map[String, String]

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    Attributes
    protected
    Definition Classes
    H2OMOJOModelUtils
  58. def extractScoringHistory(outputJson: JsonObject): DataFrame

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    Attributes
    protected
    Definition Classes
    H2OMOJOModelUtils
  59. val fastMode: BooleanParam

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    Attributes
    protected
  60. final val featureImportances: NullableDataFrameParam

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    Attributes
    protected
    Definition Classes
    H2OMOJOModel
  61. final val featureTypes: MapStringStringParam

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    Attributes
    protected
    Definition Classes
    HasFeatureTypesOnMOJO
  62. def finalize(): Unit

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

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    Attributes
    protected
    Definition Classes
    ParameterConstructorMethods
  64. val forceLoadBalance: BooleanParam

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

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    Definition Classes
    Params
  66. def getActivation(): String

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  67. def getAdaptiveRate(): Boolean

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  68. def getAverageActivation(): Double

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  69. def getCalculateFeatureImportances(): Boolean

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  70. def getCategoricalEncoding(): String

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

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    Definition Classes
    AnyRef → Any
  72. def getCoefficients(): DataFrame

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    Definition Classes
    H2OMOJOModel
  73. def getConvertInvalidNumbersToNa(): Boolean

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    Definition Classes
    H2OBaseMOJOParams
  74. def getConvertUnknownCategoricalLevelsToNa(): Boolean

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

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    Returns a map of all combined cross-validation holdout metrics of the Double type.

    Returns a map of all combined cross-validation holdout metrics of the Double type.

    Definition Classes
    H2OMOJOModel
  76. def getCrossValidationMetricsObject(): H2OAutoEncoderMetrics

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    Returns an object holding all metrics of the Double type and also more complex performance information combined from cross-validation holdouts.

    Returns an object holding all metrics of the Double type and also more complex performance information combined from cross-validation holdouts.

    Definition Classes
    H2OAutoEncoderMOJOModelH2OMOJOModel
  77. def getCrossValidationMetricsSummary(): DataFrame

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    Returns a data frame with information about performance of individual folds according to various model metrics.

    Returns a data frame with information about performance of individual folds according to various model metrics.

    Definition Classes
    H2OMOJOModel
  78. def getCrossValidationModels(): Seq[H2OAutoEncoderMOJOModel.this.type]

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    Definition Classes
    H2OMOJOModel
  79. def getCrossValidationModelsScoringHistory(): Array[DataFrame]

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

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    Returns a map of all metrics of the Double type.

    Returns a map of all metrics of the Double type. If the nfolds parameter was set, the metrics were combined from cross-validation holdouts. If cross validations wasn't enabled, the metrics were calculated from a validation dataset. If the validation dataset wasn't available, the metrics were calculated from the training dataset.

    Definition Classes
    H2OMOJOModel
  81. def getCurrentMetricsObject(): H2OMetrics

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    Returns an object holding all metrics of the Double type and also more complex performance information.

    Returns an object holding all metrics of the Double type and also more complex performance information. If the nfolds parameter was set, the object was combined from cross-validation holdouts. If cross validations wasn't enabled, the object was calculated from a validation dataset. If the validation dataset wasn't available, the object was calculated from the training dataset.

    Definition Classes
    H2OMOJOModel
  82. def getDataFrameSerializer(): String

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    Definition Classes
    HasDataFrameSerializer
  83. final def getDefault[T](param: Param[T]): Option[T]

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    Definition Classes
    Params
  84. def getDefaultThreshold(): Double

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    Definition Classes
    H2OMOJOModel
  85. def getDiagnostics(): Boolean

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

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    Definition Classes
    H2OMOJOModel
  87. def getElasticAveraging(): Boolean

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  88. def getElasticAveragingMovingRate(): Double

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  89. def getElasticAveragingRegularization(): Double

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  90. def getEndTime(): Long

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    Definition Classes
    H2OMOJOModel
  91. def getEpochs(): Double

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  92. def getEpsilon(): Double

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  93. def getExportCheckpointsDir(): String

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  94. def getExportWeightsAndBiases(): Boolean

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  95. def getFastMode(): Boolean

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  96. def getFeatureImportances(): DataFrame

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    Definition Classes
    H2OMOJOModel
  97. def getFeatureTypes(): Map[String, String]

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    Definition Classes
    HasFeatureTypesOnMOJO
  98. def getForceLoadBalance(): Boolean

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  99. def getHidden(): Array[Int]

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  100. def getHiddenDropoutRatios(): Array[Double]

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  101. def getIgnoreConstCols(): Boolean

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  102. def getIgnoredCols(): Array[String]

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    Definition Classes
    HasIgnoredColsOnMOJO
  103. def getInitialWeightDistribution(): String

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  104. def getInitialWeightScale(): Double

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  105. def getInputCols(): Array[String]

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    Definition Classes
    HasInputColsOnMOJO
  106. def getInputDropoutRatio(): Double

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  107. def getL1(): Double

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  108. def getL2(): Double

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  109. def getLoss(): String

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  110. def getMSECol(): String

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    Definition Classes
    H2OAutoEncoderExtraParams
  111. def getMaxCategoricalFeatures(): Int

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  112. def getMaxRuntimeSecs(): Double

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  113. def getMaxW2(): Float

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  114. def getMiniBatchSize(): Int

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  115. def getMissingValuesHandling(): String

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  116. def getModelCategory(): String

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    Definition Classes
    H2OMOJOModel
  117. def getModelDetails(): String

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    Definition Classes
    H2OMOJOModel
  118. def getModelDetails(modelJson: JsonObject): String

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    Attributes
    protected
    Definition Classes
    H2OMOJOModelUtils
  119. def getModelJson(mojo: File): JsonObject

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    Attributes
    protected
    Definition Classes
    H2OMOJOModelUtils
  120. def getModelSummary(): DataFrame

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    Definition Classes
    H2OMOJOModel
  121. def getMomentumRamp(): Double

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  122. def getMomentumStable(): Double

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  123. def getMomentumStart(): Double

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  124. def getNesterovAcceleratedGradient(): Boolean

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

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    Definition Classes
    Params
  126. def getOriginalCol(): String

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    Definition Classes
    H2OAutoEncoderExtraParams
  127. def getOutputCol(): String

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    Definition Classes
    HasOutputCol
  128. def getOverwriteWithBestModel(): Boolean

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

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    Definition Classes
    Params
  130. def getQuietMode(): Boolean

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  131. def getRate(): Double

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  132. def getRateAnnealing(): Double

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  133. def getRateDecay(): Double

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

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

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  136. def getReproducible(): Boolean

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  137. def getRho(): Double

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  138. def getRunTime(): Long

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    Definition Classes
    H2OMOJOModel
  139. def getScoreDutyCycle(): Double

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  140. def getScoreEachIteration(): Boolean

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  141. def getScoreInterval(): Double

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  142. def getScoreTrainingSamples(): Long

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  143. def getScoreValidationSamples(): Long

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  144. def getScoreValidationSampling(): String

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  145. def getScoringHistory(): DataFrame

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    Definition Classes
    H2OMOJOModel
  146. def getSeed(): Long

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  147. def getShuffleTrainingData(): Boolean

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  148. def getSingleNodeMode(): Boolean

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  149. def getSparse(): Boolean

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  150. def getSparsityBeta(): Double

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  151. def getStandardize(): Boolean

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  152. def getStartTime(): Long

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    Definition Classes
    H2OMOJOModel
  153. def getStoppingMetric(): String

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  154. def getStoppingRounds(): Int

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  155. def getStoppingTolerance(): Double

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  156. def getTargetRatioCommToComp(): Double

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  157. def getTrainSamplesPerIteration(): Long

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

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    Returns a map of all metrics of the Double type calculated on the training dataset.

    Returns a map of all metrics of the Double type calculated on the training dataset.

    Definition Classes
    H2OMOJOModel
  159. def getTrainingMetricsObject(): H2OAutoEncoderMetrics

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    Returns an object holding all metrics of the Double type and also more complex performance information calculated on the training dataset.

    Returns an object holding all metrics of the Double type and also more complex performance information calculated on the training dataset.

    Definition Classes
    H2OAutoEncoderMOJOModelH2OMOJOModel
  160. def getTrainingParams(): Map[String, String]

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    Definition Classes
    H2OMOJOModel
  161. def getUseAllFactorLevels(): Boolean

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

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    Returns a map of all metrics of the Double type calculated on the validation dataset.

    Returns a map of all metrics of the Double type calculated on the validation dataset.

    Definition Classes
    H2OMOJOModel
  163. def getValidationMetricsObject(): H2OAutoEncoderMetrics

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    Returns an object holding all metrics of the Double type and also more complex performance information calculated on the validation dataset.

    Returns an object holding all metrics of the Double type and also more complex performance information calculated on the validation dataset.

    Definition Classes
    H2OAutoEncoderMOJOModelH2OMOJOModel
  164. def getWeightCol(): String

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  165. def getWithMSECol(): Boolean

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    Definition Classes
    H2OAutoEncoderExtraParams
  166. def getWithOriginalCol(): Boolean

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    Definition Classes
    H2OAutoEncoderExtraParams
  167. final def hasDefault[T](param: Param[T]): Boolean

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

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    Definition Classes
    Params
  169. def hasParent: Boolean

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    Definition Classes
    Model
  170. def hashCode(): Int

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    Definition Classes
    AnyRef → Any
  171. val hidden: IntArrayParam

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    Attributes
    protected
  172. val hiddenDropoutRatios: NullableDoubleArrayParam

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    Attributes
    protected
  173. val ignoreConstCols: BooleanParam

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    Attributes
    protected
  174. val initialWeightDistribution: NullableStringParam

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    Attributes
    protected
  175. val initialWeightScale: DoubleParam

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

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

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    Attributes
    protected
    Definition Classes
    Logging
  178. val inputCols: NullableStringArrayParam

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    Attributes
    protected
    Definition Classes
    HasInputColsOnMOJO
  179. def inputColumnNames: Array[String]

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    Attributes
    protected
    Definition Classes
    H2OAutoEncoderMOJOBaseH2OMOJOFlattenedInput
  180. val inputDropoutRatio: DoubleParam

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

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

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    Definition Classes
    ParameterConstructorMethods
  183. final def isDefined(param: Param[_]): Boolean

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

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

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    Definition Classes
    Params
  186. def isTraceEnabled(): Boolean

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    Attributes
    protected
    Definition Classes
    Logging
  187. def jsonFieldToDataFrame(outputJson: JsonObject, fieldName: String): DataFrame

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    Attributes
    protected
    Definition Classes
    H2OMOJOModelUtils
  188. def jsonFieldToDoubleArray(outputJson: JsonObject, fieldName: String): Array[Double]

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    Attributes
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    Definition Classes
    H2OMOJOModelUtils
  189. val l1: DoubleParam

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  190. val l2: DoubleParam

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    Attributes
    protected
  191. def log: Logger

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

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

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

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

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

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

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    Definition Classes
    Logging
  198. def logName: String

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

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

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

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

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

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    Attributes
    protected
    Definition Classes
    ParameterConstructorMethods
  204. val loss: NullableStringParam

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    Attributes
    protected
  205. val maxCategoricalFeatures: IntParam

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    Attributes
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  206. val maxRuntimeSecs: DoubleParam

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    Attributes
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  207. val maxW2: FloatParam

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    Attributes
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  208. val miniBatchSize: IntParam

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    Attributes
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  209. val missingValuesHandling: NullableStringParam

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    Attributes
    protected
  210. final val modelCategory: NullableStringParam

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

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    Attributes
    protected
    Definition Classes
    H2OMOJOModel
  212. final val modelSummary: NullableDataFrameParam

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    Attributes
    protected
    Definition Classes
    H2OMOJOModel
  213. def mojoUDF: UserDefinedFunction

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    Attributes
    protected
    Definition Classes
    H2OAutoEncoderMOJOBaseH2OFeatureMOJOModel
  214. val momentumRamp: DoubleParam

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    Attributes
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  215. val momentumStable: DoubleParam

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    Attributes
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  216. val momentumStart: DoubleParam

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

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    Definition Classes
    AnyRef
  218. def nestedJsonFieldToDataFrame(outputJson: JsonObject, parentFieldName: String, fieldName: String): DataFrame

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    Attributes
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    Definition Classes
    H2OMOJOModelUtils
  219. val nesterovAcceleratedGradient: BooleanParam

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    Attributes
    protected
  220. val nonSerializableField: AnyRef

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    Definition Classes
    H2OMOJOModel
  221. final def notify(): Unit

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    Definition Classes
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  222. final def notifyAll(): Unit

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

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  224. def nullableDataFrameParam(name: String, doc: String): NullableDataFrameParam

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    Attributes
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    H2OMOJOModel
  225. def nullableDoubleArrayArrayParam(name: String, doc: String): NullableDoubleArrayArrayParam

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

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

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    Attributes
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  228. def nullableIntArrayParam(name: String, doc: String): NullableIntArrayParam

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    Attributes
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  229. def nullableStringArrayArrayParam(name: String, doc: String): NullableStringArrayArrayParam

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    Attributes
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  230. def nullableStringArrayParam(name: String, doc: String): NullableStringArrayParam

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    Attributes
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    ParameterConstructorMethods
  231. def nullableStringPairArrayParam(name: String, doc: String): NullableStringPairArrayParam

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    Attributes
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  232. def nullableStringParam(name: String, doc: String): NullableStringParam

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    Attributes
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    ParameterConstructorMethods
  233. def outputColumnName: String

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    Attributes
    protected
    Definition Classes
    H2OFeatureMOJOModelH2OMOJOFlattenedInput
  234. def outputSchema: Seq[StructField]

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    Attributes
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    Definition Classes
    H2OAutoEncoderExtraParamsH2OFeatureEstimatorBase
  235. val overwriteWithBestModel: BooleanParam

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

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

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    Definition Classes
    Params
  238. var parent: Estimator[H2OMOJOModel]

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    Definition Classes
    Model
  239. val quietMode: BooleanParam

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    Attributes
    protected
  240. val rate: DoubleParam

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    Attributes
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  241. val rateAnnealing: DoubleParam

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    Attributes
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  242. val rateDecay: DoubleParam

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  243. val replicateTrainingData: BooleanParam

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    Attributes
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  244. val reproducible: BooleanParam

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    Attributes
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  245. val rho: DoubleParam

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    Attributes
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  246. final val runTime: LongParam

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    Attributes
    protected
    Definition Classes
    H2OMOJOModel
  247. def save(path: String): Unit

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    Definition Classes
    MLWritable
    Annotations
    @Since( "1.6.0" ) @throws( ... )
  248. val scoreDutyCycle: DoubleParam

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    Attributes
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  249. val scoreEachIteration: BooleanParam

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  250. val scoreInterval: DoubleParam

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    Attributes
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  251. val scoreTrainingSamples: LongParam

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  252. val scoreValidationSamples: LongParam

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  253. val scoreValidationSampling: NullableStringParam

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  254. final val scoringHistory: NullableDataFrameParam

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    H2OMOJOModel
  255. val seed: LongParam

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    Attributes
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  256. final def set(paramPair: ParamPair[_]): H2OAutoEncoderMOJOModel.this.type

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  257. final def set(param: String, value: Any): H2OAutoEncoderMOJOModel.this.type

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    Attributes
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    Params
  258. final def set[T](param: Param[T], value: T): H2OAutoEncoderMOJOModel.this.type

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    Definition Classes
    Params
  259. def setDataFrameSerializer(fullClassName: String): H2OAutoEncoderMOJOModel.this.type

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    Definition Classes
    H2OBaseMOJOParams
  260. final def setDefault(paramPairs: ParamPair[_]*): H2OAutoEncoderMOJOModel.this.type

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    Attributes
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    Params
  261. final def setDefault[T](param: Param[T], value: T): H2OAutoEncoderMOJOModel.this.type

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    Attributes
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    Params
  262. def setMSECol(name: String): H2OAutoEncoderMOJOModel.this.type

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    Definition Classes
    H2OAutoEncoderExtraParams
  263. def setMojo(mojo: File): H2OAutoEncoderMOJOModel.this.type

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    Definition Classes
    HasMojo
  264. def setMojo(mojo: InputStream, mojoName: String): H2OAutoEncoderMOJOModel.this.type

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    Definition Classes
    HasMojo
  265. def setMojo(mojo: InputStream): H2OAutoEncoderMOJOModel.this.type

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    Definition Classes
    HasMojo
  266. def setOriginalCol(name: String): H2OAutoEncoderMOJOModel.this.type

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    Definition Classes
    H2OAutoEncoderExtraParams
  267. def setOutputCol(name: String): H2OAutoEncoderMOJOModel.this.type

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    Definition Classes
    HasOutputCol
  268. def setParent(parent: Estimator[H2OMOJOModel]): H2OMOJOModel

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    Definition Classes
    Model
  269. def setWithMSECol(flag: Boolean): H2OAutoEncoderMOJOModel.this.type

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    Definition Classes
    H2OAutoEncoderExtraParams
  270. def setWithOriginalCol(flag: Boolean): H2OAutoEncoderMOJOModel.this.type

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    Definition Classes
    H2OAutoEncoderExtraParams
  271. val shuffleTrainingData: BooleanParam

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  272. val singleNodeMode: BooleanParam

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  273. val sparse: BooleanParam

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  274. val sparsityBeta: DoubleParam

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  275. val standardize: BooleanParam

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  276. final val startTime: LongParam

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    H2OMOJOModel
  277. val stoppingMetric: NullableStringParam

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  278. val stoppingRounds: IntParam

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  279. val stoppingTolerance: DoubleParam

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

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

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

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  283. val targetRatioCommToComp: DoubleParam

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  284. def toString(): String

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    Definition Classes
    H2OMOJOModel → Identifiable → AnyRef → Any
  285. val trainSamplesPerIteration: LongParam

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  286. final val trainingMetrics: MapStringDoubleParam

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    H2OMOJOModel
  287. final val trainingMetricsObject: NullableMetricsParam

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    H2OMOJOModel
  288. final val trainingParams: MapStringStringParam

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

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    H2OFeatureMOJOModel → Transformer
  290. def transform(dataset: Dataset[_], paramMap: ParamMap): DataFrame

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

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    Definition Classes
    Transformer
    Annotations
    @Since( "2.0.0" ) @varargs()
  292. def transformSchema(schema: StructType): StructType

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    H2OFeatureEstimatorBase → PipelineStage
  293. def transformSchema(schema: StructType, logging: Boolean): StructType

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    PipelineStage
    Annotations
    @DeveloperApi()
  294. val uid: String

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    Definition Classes
    H2OAutoEncoderMOJOModel → Identifiable
  295. def unwrapMojoModel(): MojoModel

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    The method returns an internal H2O-3 mojo model, which can be subsequently used with EasyPredictModelWrapper to perform predictions on individual rows.

    The method returns an internal H2O-3 mojo model, which can be subsequently used with EasyPredictModelWrapper to perform predictions on individual rows.

    Definition Classes
    H2OMOJOModel
  296. val useAllFactorLevels: BooleanParam

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  297. def validate(schema: StructType): Unit

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    H2OAutoEncoderExtraParamsH2OFeatureEstimatorBase
  298. final val validationMetrics: MapStringDoubleParam

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    H2OMOJOModel
  299. final val validationMetricsObject: NullableMetricsParam

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    H2OMOJOModel
  300. final def wait(): Unit

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    @throws( ... )
  301. final def wait(arg0: Long, arg1: Int): Unit

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    @throws( ... )
  302. final def wait(arg0: Long): Unit

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    @throws( ... )
  303. val weightCol: NullableStringParam

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    Attributes
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  304. def write: MLWriter

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    Definition Classes
    H2OMOJOWritable → MLWritable

Inherited from HasIgnoredColsOnMOJO

Inherited from H2OAutoEncoderMOJOBase

Inherited from H2OAutoEncoderExtraParams

Inherited from HasInputColsOnMOJO

Inherited from HasOutputCol

Inherited from H2OFeatureMOJOModel

Inherited from H2OFeatureEstimatorBase

Inherited from H2OMOJOModel

Inherited from HasFeatureTypesOnMOJO

Inherited from H2OBaseMOJOParams

Inherited from HasDataFrameSerializer

Inherited from SpecificMOJOParameters

Inherited from H2OMOJOModelUtils

Inherited from Logging

Inherited from H2OMOJOWritable

Inherited from MLWritable

Inherited from HasMojo

Inherited from H2OMOJOFlattenedInput

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