Class/Object

ai.h2o.sparkling.ml.models

H2OGBMMOJOModel

Related Docs: object H2OGBMMOJOModel | package models

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class H2OGBMMOJOModel extends H2OTreeBasedSupervisedMOJOModel with ParameterConstructorMethods with Logging with HasMonotoneConstraintsOnMOJO with HasIgnoredColsOnMOJO

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Inherited
  1. H2OGBMMOJOModel
  2. HasIgnoredColsOnMOJO
  3. HasMonotoneConstraintsOnMOJO
  4. ParameterConstructorMethods
  5. H2OTreeBasedSupervisedMOJOModel
  6. H2OTreeBasedMOJOParams
  7. H2OSupervisedMOJOModel
  8. H2OSupervisedMOJOParams
  9. H2OAlgorithmMOJOModel
  10. H2OAlgorithmMOJOParams
  11. H2OMOJOPrediction
  12. H2OMOJOPredictionOrdinal
  13. H2OMOJOPredictionCoxPH
  14. H2OMOJOPredictionBinomial
  15. H2OMOJOPredictionClustering
  16. H2OMOJOPredictionDimReduction
  17. H2OMOJOPredictionMultinomial
  18. PredictionWithStageProbabilities
  19. H2OMOJOPredictionAnomaly
  20. H2OMOJOPredictionWordEmbedding
  21. H2OMOJOPredictionRegression
  22. PredictionWithContributions
  23. H2OMOJOModel
  24. HasFeatureTypesOnMOJO
  25. H2OBaseMOJOParams
  26. SpecificMOJOParameters
  27. H2OMOJOModelUtils
  28. Logging
  29. H2OMOJOWritable
  30. MLWritable
  31. HasMojo
  32. H2OMOJOFlattenedInput
  33. Model
  34. Transformer
  35. PipelineStage
  36. Logging
  37. Params
  38. Serializable
  39. Serializable
  40. Identifiable
  41. AnyRef
  42. Any
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Visibility
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Instance Constructors

  1. new H2OGBMMOJOModel(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. def applyPredictionUdf(dataset: Dataset[_], udfConstructor: (Array[String]) ⇒ UserDefinedFunction): DataFrame

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

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

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    Definition Classes
    Any
  8. val aucType: NullableStringParam

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    Attributes
    protected
  9. val balanceClasses: BooleanParam

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

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    Attributes
    protected
    Definition Classes
    ParameterConstructorMethods
  11. val buildTreeOneNode: BooleanParam

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    Attributes
    protected
  12. val calibrateModel: BooleanParam

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    Attributes
    protected
  13. val categoricalEncoding: NullableStringParam

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    Attributes
    protected
  14. val checkConstantResponse: BooleanParam

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    Attributes
    protected
  15. val classSamplingFactors: NullableFloatArrayParam

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    Attributes
    protected
  16. final def clear(param: Param[_]): H2OGBMMOJOModel.this.type

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    Definition Classes
    Params
  17. def clone(): AnyRef

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    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  18. val colSampleRate: DoubleParam

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    Attributes
    protected
  19. val colSampleRateChangePerLevel: DoubleParam

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    Attributes
    protected
  20. val colSampleRatePerTree: DoubleParam

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    Attributes
    protected
  21. final val convertInvalidNumbersToNa: BooleanParam

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

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

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

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

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

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

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

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    Attributes
    protected
    Definition Classes
    H2OMOJOModel
  29. val customDistributionFunc: NullableStringParam

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    Attributes
    protected
  30. val customMetricFunc: NullableStringParam

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

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

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    Attributes
    protected
    Definition Classes
    H2OAlgorithmMOJOParams
  33. val distribution: NullableStringParam

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

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

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

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

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

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    Definition Classes
    Params
  39. def explainParams(): String

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    Definition Classes
    Params
  40. val exportCheckpointsDir: NullableStringParam

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    Attributes
    protected
  41. def extractAnomalyPredictionColContent(): Column

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    Definition Classes
    H2OMOJOPredictionAnomaly
  42. def extractBinomialPredictionColContent(): Column

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    Definition Classes
    H2OMOJOPredictionBinomial
  43. def extractClusteringPredictionColContent(): Column

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    Definition Classes
    H2OMOJOPredictionClustering
  44. def extractCoxPHPredictionColContent(): Column

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

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

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  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 extractMetrics(json: JsonObject, metricType: String): Map[String, Double]

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

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

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

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    Definition Classes
    H2OMOJOPredictionMultinomial
  53. def extractOrdinalPredictionColContent(): Column

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

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

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

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

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    Definition Classes
    H2OMOJOPrediction
  58. def extractRegressionPredictionColContent(): Column

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

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

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  61. final val featureImportances: NullableDataFrameParam

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

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

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    Attributes
    protected
    Definition Classes
    H2OAlgorithmMOJOParams
  64. def finalize(): Unit

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

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    Attributes
    protected
    Definition Classes
    ParameterConstructorMethods
  66. val foldAssignment: NullableStringParam

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    Attributes
    protected
  67. val foldCol: NullableStringParam

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    Attributes
    protected
  68. val gainsliftBins: IntParam

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

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    Definition Classes
    Params
  70. def getAnomalyPredictionColSchema(): Seq[StructField]

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    Definition Classes
    H2OMOJOPredictionAnomaly
  71. def getAnomalyPredictionSchema(): StructType

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    Definition Classes
    H2OMOJOPredictionAnomaly
  72. def getAnomalyPredictionUDF(): UserDefinedFunction

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    Definition Classes
    H2OMOJOPredictionAnomaly
  73. def getAucType(): String

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  74. def getBalanceClasses(): Boolean

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  75. def getBinomialPredictionColSchema(): Seq[StructField]

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    Definition Classes
    H2OMOJOPredictionBinomial
  76. def getBinomialPredictionSchema(): StructType

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    Definition Classes
    H2OMOJOPredictionBinomial
  77. def getBinomialPredictionUDF(): UserDefinedFunction

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    Definition Classes
    H2OMOJOPredictionBinomial
  78. def getBuildTreeOneNode(): Boolean

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  79. def getCalibrateModel(): Boolean

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  80. def getCategoricalEncoding(): String

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  81. def getCheckConstantResponse(): Boolean

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

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

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  84. def getClusteringPredictionColSchema(): Seq[StructField]

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    Definition Classes
    H2OMOJOPredictionClustering
  85. def getClusteringPredictionSchema(): StructType

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    Definition Classes
    H2OMOJOPredictionClustering
  86. def getClusteringPredictionUDF(): UserDefinedFunction

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    Definition Classes
    H2OMOJOPredictionClustering
  87. def getColSampleRate(): Double

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  88. def getColSampleRateChangePerLevel(): Double

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  89. def getColSampleRatePerTree(): Double

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  90. def getContributionsSchema(model: EasyPredictModelWrapper): DataType

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

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    Definition Classes
    H2OBaseMOJOParams
  92. def getConvertUnknownCategoricalLevelsToNa(): Boolean

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

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    Definition Classes
    H2OMOJOPredictionCoxPH
  94. def getCoxPHPredictionSchema(): StructType

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    Definition Classes
    H2OMOJOPredictionCoxPH
  95. def getCoxPHPredictionUDF(): UserDefinedFunction

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    Definition Classes
    H2OMOJOPredictionCoxPH
  96. 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
  97. 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
  98. 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
  99. def getCrossValidationModels(): Seq[H2OGBMMOJOModel.this.type]

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    Definition Classes
    H2OMOJOModel
  100. 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
  101. 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
  102. def getCustomDistributionFunc(): String

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  103. def getCustomMetricFunc(): String

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

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    Definition Classes
    Params
  105. def getDetailedPredictionCol(): String

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

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

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  108. def getDimReductionPredictionSchema(): StructType

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  109. def getDimReductionPredictionUDF(): UserDefinedFunction

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  110. def getDistribution(): String

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

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    Definition Classes
    H2OMOJOModel
  112. def getExportCheckpointsDir(): String

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  113. def getFeatureImportances(): DataFrame

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

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

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    Definition Classes
    H2OAlgorithmMOJOParams
  116. def getFoldAssignment(): String

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  117. def getFoldCol(): String

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  118. def getGainsliftBins(): Int

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  119. def getHistogramType(): String

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  120. def getHuberAlpha(): Double

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  121. def getIgnoreConstCols(): Boolean

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  122. def getIgnoredCols(): Array[String]

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    Definition Classes
    HasIgnoredColsOnMOJO
  123. def getKeepCrossValidationFoldAssignment(): Boolean

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  124. def getKeepCrossValidationModels(): Boolean

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  125. def getKeepCrossValidationPredictions(): Boolean

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  126. def getLabelCol(): String

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  127. def getLearnRate(): Double

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  128. def getLearnRateAnnealing(): Double

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  129. def getMaxAbsLeafnodePred(): Double

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  130. def getMaxAfterBalanceSize(): Float

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  131. def getMaxConfusionMatrixSize(): Int

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  132. def getMaxDepth(): Int

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  133. def getMaxRuntimeSecs(): Double

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  134. def getMinRows(): Double

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  135. def getMinSplitImprovement(): Double

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  136. def getModelCategory(): String

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    Definition Classes
    H2OMOJOModel
  137. def getModelDetails(): String

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

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

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    Attributes
    protected
    Definition Classes
    H2OMOJOModelUtils
  140. def getMonotoneConstraints(): Map[String, Double]

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    Definition Classes
    HasMonotoneConstraintsOnMOJO
  141. def getMultinomialPredictionColSchema(): Seq[StructField]

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    Definition Classes
    H2OMOJOPredictionMultinomial
  142. def getMultinomialPredictionSchema(): StructType

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    Definition Classes
    H2OMOJOPredictionMultinomial
  143. def getMultinomialPredictionUDF(): UserDefinedFunction

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    Definition Classes
    H2OMOJOPredictionMultinomial
  144. def getNamedMojoOutputColumns(): Boolean

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    Definition Classes
    H2OAlgorithmMOJOParams
  145. def getNbins(): Int

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  146. def getNbinsCats(): Int

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  147. def getNbinsTopLevel(): Int

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  148. def getNfolds(): Int

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  149. def getNtrees(): Int

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    Definition Classes
    H2OTreeBasedMOJOParams
  150. def getOffsetCol(): String

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

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

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    Definition Classes
    H2OMOJOPredictionOrdinal
  153. def getOrdinalPredictionSchema(): StructType

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    Definition Classes
    H2OMOJOPredictionOrdinal
  154. def getOrdinalPredictionUDF(): UserDefinedFunction

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

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    Definition Classes
    Params
  156. def getPredNoiseBandwidth(): Double

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  157. def getPredictionCol(): String

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

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    Definition Classes
    H2OMOJOPrediction
  159. def getPredictionSchema(): StructType

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    Definition Classes
    H2OMOJOPrediction
  160. def getPredictionUDF(): UserDefinedFunction

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    Definition Classes
    H2OMOJOPrediction
  161. def getQuantileAlpha(): Double

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  162. def getRegressionPredictionColSchema(): Seq[StructField]

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    Definition Classes
    H2OMOJOPredictionRegression
  163. def getRegressionPredictionSchema(): StructType

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    Definition Classes
    H2OMOJOPredictionRegression
  164. def getRegressionPredictionUDF(): UserDefinedFunction

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    Definition Classes
    H2OMOJOPredictionRegression
  165. def getRelevantColumnNames(flatDataFrame: DataFrame, inputs: Array[String]): Array[String]

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    Attributes
    protected
    Definition Classes
    H2OMOJOFlattenedInput
  166. def getSampleRate(): Double

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  167. def getSampleRatePerClass(): Array[Double]

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  168. def getScoreEachIteration(): Boolean

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  169. def getScoreTreeInterval(): Int

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  170. def getScoringHistory(): DataFrame

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    Definition Classes
    H2OMOJOModel
  171. def getSeed(): Long

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  172. def getStageProbabilitiesSchema(model: EasyPredictModelWrapper): DataType

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    Attributes
    protected
    Definition Classes
    PredictionWithStageProbabilities
  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 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
  177. 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
  178. def getTrainingParams(): Map[String, String]

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    Definition Classes
    H2OMOJOModel
  179. def getTweediePower(): Double

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  180. 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
  181. 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
  182. def getWeightCol(): String

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  183. def getWithContributions(): Boolean

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    Definition Classes
    H2OAlgorithmMOJOParams
  184. def getWithDetailedPredictionCol(): Boolean

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

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    Definition Classes
    H2OAlgorithmMOJOParams
  186. def getWithStageResults(): Boolean

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

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  188. def getWordEmbeddingPredictionSchema(): StructType

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  189. def getWordEmbeddingPredictionUDF(): UserDefinedFunction

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

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

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    Definition Classes
    Params
  192. def hasParent: Boolean

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    Definition Classes
    Model
  193. def hashCode(): Int

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    Definition Classes
    AnyRef → Any
  194. val histogramType: NullableStringParam

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    Attributes
    protected
  195. val huberAlpha: DoubleParam

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    Attributes
    protected
  196. val ignoreConstCols: BooleanParam

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

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    Attributes
    protected
    Definition Classes
    Logging
  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. final def isDefined(param: Param[_]): Boolean

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

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

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    Definition Classes
    Params
  205. def isTraceEnabled(): Boolean

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

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    H2OMOJOModelUtils
  207. val keepCrossValidationFoldAssignment: BooleanParam

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  208. val keepCrossValidationModels: BooleanParam

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  209. val keepCrossValidationPredictions: BooleanParam

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  210. val labelCol: Param[String]

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  211. val learnRate: DoubleParam

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  212. val learnRateAnnealing: DoubleParam

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  213. def log: Logger

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

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    Logging
  215. def logDebug(msg: ⇒ String): Unit

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

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    Logging
  217. def logError(msg: ⇒ String): Unit

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

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    Attributes
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    Logging
  219. def logInfo(msg: ⇒ String): Unit

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    Logging
  220. def logName: String

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    Attributes
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    Logging
  221. def logTrace(msg: ⇒ String, throwable: Throwable): Unit

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    Attributes
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    Logging
  222. def logTrace(msg: ⇒ String): Unit

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

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    Logging
  224. def logWarning(msg: ⇒ String): Unit

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    Logging
  225. def longParam(name: String, doc: String): LongParam

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  226. val maxAbsLeafnodePred: DoubleParam

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  227. val maxAfterBalanceSize: FloatParam

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  228. val maxConfusionMatrixSize: IntParam

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  229. val maxDepth: IntParam

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  230. val maxRuntimeSecs: DoubleParam

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  231. val minRows: DoubleParam

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  232. val minSplitImprovement: DoubleParam

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  233. final val modelCategory: NullableStringParam

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    Attributes
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    Definition Classes
    H2OMOJOModel
  234. final val modelDetails: NullableStringParam

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    Attributes
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    H2OMOJOModel
  235. final val namedMojoOutputColumns: Param[Boolean]

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    H2OAlgorithmMOJOParams
  236. val nbins: IntParam

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  237. val nbinsCats: IntParam

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  238. val nbinsTopLevel: IntParam

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

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    Definition Classes
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  240. val nfolds: IntParam

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    Attributes
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  241. final def notify(): Unit

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    Definition Classes
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  242. final def notifyAll(): Unit

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    Definition Classes
    AnyRef
  243. final val ntrees: IntParam

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    Attributes
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    H2OTreeBasedMOJOParams
  244. def nullableDataFrameParam(name: String, doc: String): NullableDataFrameParam

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

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

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

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

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

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

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

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

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  253. def outputColumnName: String

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

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

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

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    Definition Classes
    Model
  257. val predNoiseBandwidth: DoubleParam

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  258. final val predictionCol: Param[String]

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    H2OAlgorithmMOJOParams
  259. val quantileAlpha: DoubleParam

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  260. val sampleRate: DoubleParam

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  261. val sampleRatePerClass: NullableDoubleArrayParam

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  262. def save(path: String): Unit

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    Definition Classes
    MLWritable
    Annotations
    @Since( "1.6.0" ) @throws( ... )
  263. val scoreEachIteration: BooleanParam

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  264. val scoreTreeInterval: IntParam

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  265. final val scoringHistory: NullableDataFrameParam

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    H2OMOJOModel
  266. val seed: LongParam

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  267. final def set(paramPair: ParamPair[_]): H2OGBMMOJOModel.this.type

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  268. final def set(param: String, value: Any): H2OGBMMOJOModel.this.type

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  269. final def set[T](param: Param[T], value: T): H2OGBMMOJOModel.this.type

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  270. final def setDefault(paramPairs: ParamPair[_]*): H2OGBMMOJOModel.this.type

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  271. final def setDefault[T](param: Param[T], value: T): H2OGBMMOJOModel.this.type

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  272. def setMojo(mojo: File): H2OGBMMOJOModel.this.type

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    Definition Classes
    HasMojo
  273. def setMojo(mojo: InputStream, mojoName: String): H2OGBMMOJOModel.this.type

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    Definition Classes
    HasMojo
  274. def setMojo(mojo: InputStream): H2OGBMMOJOModel.this.type

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

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    Definition Classes
    Model
  276. val stoppingMetric: NullableStringParam

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  277. val stoppingRounds: IntParam

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  278. val stoppingTolerance: DoubleParam

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

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

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

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  282. def toString(): String

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    Identifiable → AnyRef → Any
  283. final val trainingMetrics: MapStringDoubleParam

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    H2OMOJOModel
  284. final val trainingMetricsObject: NullableMetricsParam

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    H2OMOJOModel
  285. final val trainingParams: MapStringStringParam

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

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

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

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

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

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    @DeveloperApi()
  291. val tweediePower: DoubleParam

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  292. val uid: String

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  293. 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
  294. final val validationMetrics: MapStringDoubleParam

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    H2OMOJOModel
  295. final val validationMetricsObject: NullableMetricsParam

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    H2OMOJOModel
  296. final def wait(): Unit

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

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

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

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  300. final val withContributions: BooleanParam

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    H2OAlgorithmMOJOParams
  301. final val withDetailedPredictionCol: BooleanParam

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    H2OAlgorithmMOJOParams
  302. final val withLeafNodeAssignments: BooleanParam

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    H2OAlgorithmMOJOParams
  303. final val withStageResults: BooleanParam

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    Attributes
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    H2OAlgorithmMOJOParams
  304. def write: MLWriter

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    Definition Classes
    H2OMOJOWritable → MLWritable

Inherited from HasIgnoredColsOnMOJO

Inherited from H2OTreeBasedMOJOParams

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