Class/Object

ai.h2o.sparkling.ml.models

H2OGAMMOJOModel

Related Docs: object H2OGAMMOJOModel | package models

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class H2OGAMMOJOModel extends H2OSupervisedMOJOModel with ParameterConstructorMethods with Logging with HasIgnoredColsOnMOJO with HasGamColsOnMOJO

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Inherited
  1. H2OGAMMOJOModel
  2. HasGamColsOnMOJO
  3. HasIgnoredColsOnMOJO
  4. ParameterConstructorMethods
  5. H2OSupervisedMOJOModel
  6. H2OSupervisedMOJOParams
  7. H2OAlgorithmMOJOModel
  8. H2OAlgorithmMOJOParams
  9. H2OMOJOPrediction
  10. H2OMOJOPredictionOrdinal
  11. H2OMOJOPredictionCoxPH
  12. H2OMOJOPredictionBinomial
  13. H2OMOJOPredictionClustering
  14. H2OMOJOPredictionDimReduction
  15. H2OMOJOPredictionMultinomial
  16. PredictionWithStageProbabilities
  17. H2OMOJOPredictionAnomaly
  18. H2OMOJOPredictionWordEmbedding
  19. H2OMOJOPredictionRegression
  20. PredictionWithContributions
  21. H2OMOJOModel
  22. HasFeatureTypesOnMOJO
  23. H2OBaseMOJOParams
  24. SpecificMOJOParameters
  25. H2OMOJOModelUtils
  26. Logging
  27. H2OMOJOWritable
  28. MLWritable
  29. HasMojo
  30. H2OMOJOFlattenedInput
  31. Model
  32. Transformer
  33. PipelineStage
  34. Logging
  35. Params
  36. Serializable
  37. Serializable
  38. Identifiable
  39. AnyRef
  40. Any
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Visibility
  1. Public
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Instance Constructors

  1. new H2OGAMMOJOModel(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 alphaValue: NullableDoubleArrayParam

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

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

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

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    Definition Classes
    Any
  9. val aucType: NullableStringParam

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    Attributes
    protected
  10. val balanceClasses: BooleanParam

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    Attributes
    protected
  11. val betaEpsilon: DoubleParam

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

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    Attributes
    protected
    Definition Classes
    ParameterConstructorMethods
  13. val bs: NullableIntArrayParam

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    Attributes
    protected
  14. val classSamplingFactors: NullableFloatArrayParam

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    Attributes
    protected
  15. final def clear(param: Param[_]): H2OGAMMOJOModel.this.type

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    Definition Classes
    Params
  16. def clone(): AnyRef

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    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  17. val coldStart: BooleanParam

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    Attributes
    protected
  18. val computePValues: BooleanParam

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

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

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

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

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    Attributes
    protected
    Definition Classes
    H2OMOJOModel
  27. val customMetricFunc: NullableStringParam

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

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

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    Attributes
    protected
    Definition Classes
    H2OAlgorithmMOJOParams
  30. def doubleArrayParam(name: String, doc: String): DoubleArrayParam

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

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    Attributes
    protected
    Definition Classes
    ParameterConstructorMethods
  32. val earlyStopping: BooleanParam

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

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

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

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    Definition Classes
    Params
  36. def explainParams(): String

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    Definition Classes
    Params
  37. val exportCheckpointsDir: NullableStringParam

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    Attributes
    protected
  38. def extractAnomalyPredictionColContent(): Column

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    Definition Classes
    H2OMOJOPredictionAnomaly
  39. def extractBinomialPredictionColContent(): Column

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    Definition Classes
    H2OMOJOPredictionBinomial
  40. def extractClusteringPredictionColContent(): Column

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    Definition Classes
    H2OMOJOPredictionClustering
  41. def extractCoxPHPredictionColContent(): Column

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    Definition Classes
    H2OMOJOPredictionCoxPH
  42. def extractCrossValidationMetricsSummary(modelJson: JsonObject): DataFrame

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    Attributes
    protected
    Definition Classes
    H2OMOJOModelUtils
  43. def extractDimReductionSimplePredictionColContent(): Column

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  44. def extractFeatureImportances(outputJson: JsonObject): DataFrame

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

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

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

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

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    Attributes
    protected
    Definition Classes
    H2OMOJOModelUtils
  49. def extractMultinomialPredictionColContent(): Column

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    Definition Classes
    H2OMOJOPredictionMultinomial
  50. def extractOrdinalPredictionColContent(): Column

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

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

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

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    Attributes
    protected
    Definition Classes
    H2OMOJOModelUtils
  54. def extractPredictionColContent(): Column

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    Definition Classes
    H2OMOJOPrediction
  55. def extractRegressionPredictionColContent(): Column

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    Definition Classes
    H2OMOJOPredictionRegression
  56. def extractScoringHistory(outputJson: JsonObject): DataFrame

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    Attributes
    protected
    Definition Classes
    H2OMOJOModelUtils
  57. def extractWordEmbeddingPredictionColContent(): Column

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  58. val family: NullableStringParam

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    Attributes
    protected
  59. final val featureImportances: NullableDataFrameParam

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

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    Attributes
    protected
    Definition Classes
    HasFeatureTypesOnMOJO
  61. final val featuresCols: StringArrayParam

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    Attributes
    protected
    Definition Classes
    H2OAlgorithmMOJOParams
  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 foldAssignment: NullableStringParam

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    Attributes
    protected
  65. val foldCol: NullableStringParam

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

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    Definition Classes
    Params
  67. def getAlphaValue(): Array[Double]

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  68. def getAnomalyPredictionColSchema(): Seq[StructField]

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    Definition Classes
    H2OMOJOPredictionAnomaly
  69. def getAnomalyPredictionSchema(): StructType

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    Definition Classes
    H2OMOJOPredictionAnomaly
  70. def getAnomalyPredictionUDF(): UserDefinedFunction

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    Definition Classes
    H2OMOJOPredictionAnomaly
  71. def getAucType(): String

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  72. def getBalanceClasses(): Boolean

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  73. def getBetaEpsilon(): Double

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  74. def getBinomialPredictionColSchema(): Seq[StructField]

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    Definition Classes
    H2OMOJOPredictionBinomial
  75. def getBinomialPredictionSchema(): StructType

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    Definition Classes
    H2OMOJOPredictionBinomial
  76. def getBinomialPredictionUDF(): UserDefinedFunction

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    Definition Classes
    H2OMOJOPredictionBinomial
  77. def getBs(): Array[Int]

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

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

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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 getColdStart(): Boolean

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  84. def getComputePValues(): Boolean

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  85. def getContributionsSchema(model: EasyPredictModelWrapper): DataType

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

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    Definition Classes
    H2OBaseMOJOParams
  87. def getConvertUnknownCategoricalLevelsToNa(): Boolean

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    Definition Classes
    H2OBaseMOJOParams
  88. def getCoxPHPredictionColSchema(): Seq[StructField]

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    Definition Classes
    H2OMOJOPredictionCoxPH
  89. def getCoxPHPredictionSchema(): StructType

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    Definition Classes
    H2OMOJOPredictionCoxPH
  90. def getCoxPHPredictionUDF(): UserDefinedFunction

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    Definition Classes
    H2OMOJOPredictionCoxPH
  91. 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
  92. def getCrossValidationMetricsObject(): H2OMetrics

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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
    H2OMOJOModel
  93. 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
  94. def getCrossValidationModels(): Seq[H2OGAMMOJOModel.this.type]

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    Definition Classes
    H2OMOJOModel
  95. 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
  96. 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
  97. def getCustomMetricFunc(): String

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

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    Definition Classes
    Params
  99. def getDetailedPredictionCol(): String

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    Definition Classes
    H2OAlgorithmMOJOParams
  100. def getDetailedPredictionColSchema(): Seq[StructField]

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    Definition Classes
    H2OMOJOPrediction
  101. def getDimReductionPredictionColSchema(): Seq[StructField]

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  102. def getDimReductionPredictionSchema(): StructType

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  103. def getDimReductionPredictionUDF(): UserDefinedFunction

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

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    Definition Classes
    H2OMOJOModel
  105. def getEarlyStopping(): Boolean

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  106. def getExportCheckpointsDir(): String

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  107. def getFamily(): String

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  108. def getFeatureImportances(): DataFrame

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

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    Definition Classes
    HasFeatureTypesOnMOJO
  110. def getFeaturesCols(): Array[String]

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    Definition Classes
    H2OAlgorithmMOJOParams
  111. def getFoldAssignment(): String

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  112. def getFoldCol(): String

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  113. def getGamCols(): Array[Array[String]]

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    Definition Classes
    HasGamColsOnMOJO
  114. def getGradientEpsilon(): Double

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  115. def getIgnoreConstCols(): Boolean

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  116. def getIgnoredCols(): Array[String]

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    Definition Classes
    HasIgnoredColsOnMOJO
  117. def getInteractions(): Array[String]

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  118. def getIntercept(): Boolean

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  119. def getKeepCrossValidationFoldAssignment(): Boolean

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  120. def getKeepCrossValidationModels(): Boolean

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  121. def getKeepCrossValidationPredictions(): Boolean

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  122. def getKeepGamCols(): Boolean

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  123. def getKnotIds(): Array[String]

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  124. def getLabelCol(): String

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  125. def getLambdaSearch(): Boolean

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  126. def getLambdaValue(): Array[Double]

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  127. def getLink(): String

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  128. def getMaxActivePredictors(): Int

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  129. def getMaxAfterBalanceSize(): Float

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  130. def getMaxConfusionMatrixSize(): Int

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  131. def getMaxIterations(): Int

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  132. def getMaxRuntimeSecs(): Double

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  133. def getMissingValuesHandling(): String

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  134. def getModelCategory(): String

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    Definition Classes
    H2OMOJOModel
  135. def getModelDetails(): String

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

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

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    Attributes
    protected
    Definition Classes
    H2OMOJOModelUtils
  138. def getMultinomialPredictionColSchema(): Seq[StructField]

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    Definition Classes
    H2OMOJOPredictionMultinomial
  139. def getMultinomialPredictionSchema(): StructType

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    Definition Classes
    H2OMOJOPredictionMultinomial
  140. def getMultinomialPredictionUDF(): UserDefinedFunction

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    Definition Classes
    H2OMOJOPredictionMultinomial
  141. def getNamedMojoOutputColumns(): Boolean

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    Definition Classes
    H2OAlgorithmMOJOParams
  142. def getNfolds(): Int

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  143. def getNlambdas(): Int

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  144. def getNonNegative(): Boolean

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  145. def getNumKnots(): Array[Int]

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  146. def getObjReg(): Double

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  147. def getObjectiveEpsilon(): Double

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  148. def getOffsetCol(): String

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

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

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    Definition Classes
    H2OMOJOPredictionOrdinal
  151. def getOrdinalPredictionSchema(): StructType

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    Definition Classes
    H2OMOJOPredictionOrdinal
  152. def getOrdinalPredictionUDF(): UserDefinedFunction

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    Definition Classes
    H2OMOJOPredictionOrdinal
  153. def getParam(paramName: String): Param[Any]

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    Definition Classes
    Params
  154. def getPredictionCol(): String

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    Definition Classes
    H2OAlgorithmMOJOParams
  155. def getPredictionColSchema(): Seq[StructField]

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    Definition Classes
    H2OMOJOPrediction
  156. def getPredictionSchema(): StructType

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    Definition Classes
    H2OMOJOPrediction
  157. def getPredictionUDF(): UserDefinedFunction

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    Definition Classes
    H2OMOJOPrediction
  158. def getPrior(): 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 getRelevantColumnNames(flatDataFrame: DataFrame, inputs: Array[String]): Array[String]

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    Attributes
    protected
    Definition Classes
    H2OMOJOFlattenedInput
  163. def getRemoveCollinearCols(): Boolean

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  164. def getScale(): Array[Double]

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  165. def getScaleTpPenaltyMat(): Boolean

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  166. def getScoreEachIteration(): Boolean

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  167. def getScoringHistory(): DataFrame

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    Definition Classes
    H2OMOJOModel
  168. def getSolver(): String

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  169. def getStageProbabilitiesSchema(model: EasyPredictModelWrapper): DataType

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

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  171. def getStandardizeTpGamCols(): Boolean

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  172. def getStartval(): Array[Double]

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  173. def getStoppingMetric(): String

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  174. def getStoppingRounds(): Int

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  175. def getStoppingTolerance(): Double

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  176. def getTheta(): Double

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  177. 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
  178. def getTrainingMetricsObject(): H2OMetrics

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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
    H2OMOJOModel
  179. def getTrainingParams(): Map[String, String]

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    Definition Classes
    H2OMOJOModel
  180. def getTweedieLinkPower(): Double

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  181. def getTweedieVariancePower(): Double

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  182. 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
  183. def getValidationMetricsObject(): H2OMetrics

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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
    H2OMOJOModel
  184. def getWeightCol(): String

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  185. def getWithContributions(): Boolean

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    Definition Classes
    H2OAlgorithmMOJOParams
  186. def getWithDetailedPredictionCol(): Boolean

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    Definition Classes
    H2OAlgorithmMOJOParams
    Annotations
    @DeprecatedMethod( x$2 , x$1 )
  187. def getWithLeafNodeAssignments(): Boolean

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    Definition Classes
    H2OAlgorithmMOJOParams
  188. def getWithStageResults(): Boolean

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    Definition Classes
    H2OAlgorithmMOJOParams
  189. def getWordEmbeddingPredictionColSchema(): Seq[StructField]

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  190. def getWordEmbeddingPredictionSchema(): StructType

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  191. def getWordEmbeddingPredictionUDF(): UserDefinedFunction

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  192. val gradientEpsilon: DoubleParam

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    Attributes
    protected
  193. final def hasDefault[T](param: Param[T]): Boolean

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

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    Definition Classes
    Params
  195. def hasParent: Boolean

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    Definition Classes
    Model
  196. def hashCode(): Int

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    Definition Classes
    AnyRef → Any
  197. val ignoreConstCols: BooleanParam

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

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

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    Attributes
    protected
    Definition Classes
    H2OAlgorithmMOJOModelH2OMOJOFlattenedInput
  200. def intArrayParam(name: String, doc: String): IntArrayParam

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    Attributes
    protected
    Definition Classes
    ParameterConstructorMethods
  201. def intParam(name: String, doc: String): IntParam

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    Attributes
    protected
    Definition Classes
    ParameterConstructorMethods
  202. val interactions: NullableStringArrayParam

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    Attributes
    protected
  203. val intercept: BooleanParam

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    Attributes
    protected
  204. final def isDefined(param: Param[_]): Boolean

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

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

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    Definition Classes
    Params
  207. def isTraceEnabled(): Boolean

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

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    Attributes
    protected
    Definition Classes
    H2OMOJOModelUtils
  209. val keepCrossValidationFoldAssignment: BooleanParam

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    Attributes
    protected
  210. val keepCrossValidationModels: BooleanParam

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    Attributes
    protected
  211. val keepCrossValidationPredictions: BooleanParam

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    Attributes
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  212. val keepGamCols: BooleanParam

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    Attributes
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  213. val knotIds: NullableStringArrayParam

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    Attributes
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  214. val labelCol: Param[String]

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  215. val lambdaSearch: BooleanParam

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  216. val lambdaValue: NullableDoubleArrayParam

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  217. val link: NullableStringParam

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  218. def log: Logger

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

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

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

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

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

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

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    Attributes
    protected
    Definition Classes
    Logging
  225. def logName: String

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

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

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

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

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

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    Attributes
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    ParameterConstructorMethods
  231. val maxActivePredictors: IntParam

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    Attributes
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  232. val maxAfterBalanceSize: FloatParam

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  233. val maxConfusionMatrixSize: IntParam

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    Attributes
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  234. val maxIterations: IntParam

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  235. val maxRuntimeSecs: DoubleParam

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  236. val missingValuesHandling: NullableStringParam

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    Attributes
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  237. final val modelCategory: NullableStringParam

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    Attributes
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    Definition Classes
    H2OMOJOModel
  238. final val modelDetails: NullableStringParam

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    Attributes
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    Definition Classes
    H2OMOJOModel
  239. final val namedMojoOutputColumns: Param[Boolean]

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    Attributes
    protected
    Definition Classes
    H2OAlgorithmMOJOParams
  240. final def ne(arg0: AnyRef): Boolean

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    Definition Classes
    AnyRef
  241. val nfolds: IntParam

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    Attributes
    protected
  242. val nlambdas: IntParam

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    Attributes
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  243. val nonNegative: BooleanParam

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    Attributes
    protected
  244. final def notify(): Unit

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    Definition Classes
    AnyRef
  245. final def notifyAll(): Unit

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    Definition Classes
    AnyRef
  246. def nullableDataFrameParam(name: String, doc: String): NullableDataFrameParam

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    Attributes
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    ParameterConstructorMethods
  247. def nullableDoubleArrayArrayParam(name: String, doc: String): NullableDoubleArrayArrayParam

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    Attributes
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    ParameterConstructorMethods
  248. def nullableDoubleArrayParam(name: String, doc: String): NullableDoubleArrayParam

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    Attributes
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    ParameterConstructorMethods
  249. def nullableFloatArrayParam(name: String, doc: String): NullableFloatArrayParam

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

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

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

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

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    Attributes
    protected
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    ParameterConstructorMethods
  254. def nullableStringParam(name: String, doc: String): NullableStringParam

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    Attributes
    protected
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    ParameterConstructorMethods
  255. val numKnots: NullableIntArrayParam

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    Attributes
    protected
  256. val objReg: DoubleParam

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    Attributes
    protected
  257. val objectiveEpsilon: DoubleParam

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    Attributes
    protected
  258. def outputColumnName: String

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    Attributes
    protected
    Definition Classes
    H2OAlgorithmMOJOModelH2OMOJOFlattenedInput
  259. def param[T](name: String, doc: String): Param[T]

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    Attributes
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  260. lazy val params: Array[Param[_]]

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

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

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    Attributes
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    Definition Classes
    H2OAlgorithmMOJOParams
  263. val prior: DoubleParam

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    Attributes
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  264. val removeCollinearCols: BooleanParam

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    Attributes
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  265. def save(path: String): Unit

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    Definition Classes
    MLWritable
    Annotations
    @Since( "1.6.0" ) @throws( ... )
  266. val scale: NullableDoubleArrayParam

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  267. val scaleTpPenaltyMat: BooleanParam

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  268. val scoreEachIteration: BooleanParam

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  269. final val scoringHistory: NullableDataFrameParam

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    Attributes
    protected
    Definition Classes
    H2OMOJOModel
  270. final def set(paramPair: ParamPair[_]): H2OGAMMOJOModel.this.type

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    Attributes
    protected
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    Params
  271. final def set(param: String, value: Any): H2OGAMMOJOModel.this.type

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    Attributes
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    Params
  272. final def set[T](param: Param[T], value: T): H2OGAMMOJOModel.this.type

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    Definition Classes
    Params
  273. final def setDefault(paramPairs: ParamPair[_]*): H2OGAMMOJOModel.this.type

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    Attributes
    protected
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    Params
  274. final def setDefault[T](param: Param[T], value: T): H2OGAMMOJOModel.this.type

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    Attributes
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    Definition Classes
    Params
  275. def setMojo(mojo: File): H2OGAMMOJOModel.this.type

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    Definition Classes
    HasMojo
  276. def setMojo(mojo: InputStream, mojoName: String): H2OGAMMOJOModel.this.type

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    Definition Classes
    HasMojo
  277. def setMojo(mojo: InputStream): H2OGAMMOJOModel.this.type

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

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    Definition Classes
    Model
  279. val solver: NullableStringParam

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    protected
  280. val standardize: BooleanParam

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  281. val standardizeTpGamCols: BooleanParam

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  282. val startval: NullableDoubleArrayParam

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  283. val stoppingMetric: NullableStringParam

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  284. val stoppingRounds: IntParam

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  285. val stoppingTolerance: DoubleParam

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

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

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

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    Definition Classes
    AnyRef
  289. val theta: DoubleParam

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  290. def toString(): String

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    Definition Classes
    Identifiable → AnyRef → Any
  291. final val trainingMetrics: MapStringDoubleParam

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    Attributes
    protected
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    H2OMOJOModel
  292. final val trainingMetricsObject: NullableMetricsParam

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    Definition Classes
    H2OMOJOModel
  293. final val trainingParams: MapStringStringParam

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    Definition Classes
    H2OMOJOModel
  294. def transform(dataset: Dataset[_]): DataFrame

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    Definition Classes
    H2OAlgorithmMOJOModel → Transformer
  295. def transform(dataset: Dataset[_], paramMap: ParamMap): DataFrame

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

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

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    Definition Classes
    H2OSupervisedMOJOModelH2OAlgorithmMOJOModel → PipelineStage
    Annotations
    @DeveloperApi()
  298. def transformSchema(schema: StructType, logging: Boolean): StructType

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    Attributes
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    PipelineStage
    Annotations
    @DeveloperApi()
  299. val tweedieLinkPower: DoubleParam

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  300. val tweedieVariancePower: DoubleParam

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    Attributes
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  301. val uid: String

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    Definition Classes
    H2OGAMMOJOModelH2OSupervisedMOJOModelH2OAlgorithmMOJOModel → Identifiable
  302. 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
  303. final val validationMetrics: MapStringDoubleParam

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    H2OMOJOModel
  304. final val validationMetricsObject: NullableMetricsParam

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    H2OMOJOModel
  305. final def wait(): Unit

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  306. final def wait(arg0: Long, arg1: Int): Unit

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  307. final def wait(arg0: Long): Unit

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  308. val weightCol: NullableStringParam

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    Attributes
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  309. final val withContributions: BooleanParam

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    Attributes
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    Definition Classes
    H2OAlgorithmMOJOParams
  310. final val withDetailedPredictionCol: BooleanParam

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    Attributes
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    Definition Classes
    H2OAlgorithmMOJOParams
  311. final val withLeafNodeAssignments: BooleanParam

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    Attributes
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    Definition Classes
    H2OAlgorithmMOJOParams
  312. final val withStageResults: BooleanParam

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    Attributes
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    H2OAlgorithmMOJOParams
  313. def write: MLWriter

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    Definition Classes
    H2OMOJOWritable → MLWritable

Inherited from HasGamColsOnMOJO

Inherited from HasIgnoredColsOnMOJO

Inherited from H2OSupervisedMOJOModel

Inherited from H2OSupervisedMOJOParams

Inherited from H2OAlgorithmMOJOModel

Inherited from H2OAlgorithmMOJOParams

Inherited from H2OMOJOPrediction

Inherited from H2OMOJOPredictionOrdinal

Inherited from H2OMOJOPredictionCoxPH

Inherited from H2OMOJOPredictionBinomial

Inherited from H2OMOJOPredictionAnomaly

Inherited from H2OMOJOModel

Inherited from HasFeatureTypesOnMOJO

Inherited from H2OBaseMOJOParams

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