Class/Object

ai.h2o.sparkling.ml.models

H2OXGBoostMOJOModel

Related Docs: object H2OXGBoostMOJOModel | package models

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class H2OXGBoostMOJOModel extends H2OTreeBasedSupervisedMOJOModel with ParameterConstructorMethods with Logging with HasMonotoneConstraintsOnMOJO with HasIgnoredColsOnMOJO

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Inherited
  1. H2OXGBoostMOJOModel
  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. HasDataFrameSerializer
  27. SpecificMOJOParameters
  28. H2OMOJOModelUtils
  29. Logging
  30. H2OMOJOWritable
  31. MLWritable
  32. HasMojo
  33. H2OMOJOFlattenedInput
  34. Model
  35. Transformer
  36. PipelineStage
  37. Logging
  38. Params
  39. Serializable
  40. Serializable
  41. Identifiable
  42. AnyRef
  43. Any
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Visibility
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Instance Constructors

  1. new H2OXGBoostMOJOModel(uid: String)

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Type Members

  1. class SerializationWarningsObject extends Serializable

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    Definition Classes
    H2OMOJOModel

Value Members

  1. final def !=(arg0: Any): Boolean

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    Definition Classes
    AnyRef → Any
  2. final def ##(): Int

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    Definition Classes
    AnyRef → Any
  3. final def $[T](param: Param[T]): T

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    Attributes
    protected
    Definition Classes
    Params
  4. final def ==(arg0: Any): Boolean

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    Definition Classes
    AnyRef → Any
  5. 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 backend: NullableStringParam

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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 booster: NullableStringParam

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    Attributes
    protected
  12. val buildTreeOneNode: BooleanParam

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    Attributes
    protected
  13. val calibrateModel: BooleanParam

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    Attributes
    protected
  14. val calibrationMethod: NullableStringParam

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    Attributes
    protected
  15. val categoricalEncoding: NullableStringParam

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    Attributes
    protected
  16. final def clear(param: Param[_]): H2OXGBoostMOJOModel.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. final val coefficients: NullableDataFrameParam

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    Attributes
    protected
    Definition Classes
    H2OMOJOModel
  19. val colSampleByLevel: DoubleParam

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    Attributes
    protected
  20. val colSampleByNode: DoubleParam

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    Attributes
    protected
  21. val colSampleByTree: DoubleParam

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    Attributes
    protected
  22. val colSampleRate: DoubleParam

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    Attributes
    protected
  23. val colSampleRatePerTree: DoubleParam

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    Attributes
    protected
  24. final val convertInvalidNumbersToNa: BooleanParam

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

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

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

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

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

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

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

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    Attributes
    protected
    Definition Classes
    H2OMOJOModel
  32. var crossValidationModelsScoringHistory: NullableDataFrameArrayParam

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

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

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

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    Attributes
    protected
    Definition Classes
    H2OMOJOModel
  36. final val detailedPredictionCol: Param[String]

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    Attributes
    protected
    Definition Classes
    H2OAlgorithmMOJOParams
  37. val distribution: NullableStringParam

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    Attributes
    protected
  38. val dmatrixType: NullableStringParam

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

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

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    Attributes
    protected
    Definition Classes
    ParameterConstructorMethods
  41. final val endTime: LongParam

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    Attributes
    protected
    Definition Classes
    H2OMOJOModel
  42. final def eq(arg0: AnyRef): Boolean

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

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    Definition Classes
    AnyRef → Any
  44. val eta: DoubleParam

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    Attributes
    protected
  45. def explainParam(param: Param[_]): String

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    Definition Classes
    Params
  46. def explainParams(): String

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    Definition Classes
    Params
  47. val exportCheckpointsDir: NullableStringParam

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    Attributes
    protected
  48. def extractAnomalyPredictionColContent(): Column

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    Definition Classes
    H2OMOJOPredictionAnomaly
  49. def extractBinomialPredictionColContent(): Column

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    Definition Classes
    H2OMOJOPredictionBinomial
  50. def extractClusteringPredictionColContent(): Column

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    Definition Classes
    H2OMOJOPredictionClustering
  51. def extractCoefficients(outputJson: JsonObject): DataFrame

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

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

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

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  55. def extractFeatureImportances(outputJson: JsonObject): DataFrame

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

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

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

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

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

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

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

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    Attributes
    protected[ai.h2o.sparkling.ml.models]
    Definition Classes
    H2OMOJOModelUtils
  63. def extractMultinomialPredictionColContent(): Column

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    Definition Classes
    H2OMOJOPredictionMultinomial
  64. def extractOrdinalPredictionColContent(): Column

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

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

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

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

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    Definition Classes
    H2OMOJOPrediction
  69. def extractRegressionPredictionColContent(): Column

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

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

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  72. final val featureImportances: NullableDataFrameParam

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

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

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

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

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    Attributes
    protected
    Definition Classes
    ParameterConstructorMethods
  77. val foldAssignment: NullableStringParam

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    Attributes
    protected
  78. val foldCol: NullableStringParam

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    Attributes
    protected
  79. val gainsliftBins: IntParam

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    Attributes
    protected
  80. val gamma: FloatParam

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

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

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    Definition Classes
    H2OMOJOPredictionAnomaly
  83. def getAnomalyPredictionSchema(): StructType

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    Definition Classes
    H2OMOJOPredictionAnomaly
  84. def getAnomalyPredictionUDF(schema: StructType, modelUID: String, mojoFileName: String, configInitializers: Seq[(Config) ⇒ Config]): UserDefinedFunction

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    Definition Classes
    H2OMOJOPredictionAnomaly
  85. def getAucType(): String

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  86. def getBackend(): String

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  87. def getBinomialPredictionColSchema(): Seq[StructField]

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    Definition Classes
    H2OMOJOPredictionBinomial
  88. def getBinomialPredictionSchema(): StructType

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    Definition Classes
    H2OMOJOPredictionBinomial
  89. def getBinomialPredictionUDF(schema: StructType, modelUID: String, mojoFileName: String, configInitializers: Seq[(Config) ⇒ Config]): UserDefinedFunction

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    Definition Classes
    H2OMOJOPredictionBinomial
  90. def getBooster(): String

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  91. def getBuildTreeOneNode(): Boolean

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  92. def getCalibrateModel(): Boolean

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  93. def getCalibrationMethod(): String

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  94. def getCategoricalEncoding(): String

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

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    Definition Classes
    AnyRef → Any
  96. def getClusteringPredictionColSchema(): Seq[StructField]

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    Definition Classes
    H2OMOJOPredictionClustering
  97. def getClusteringPredictionSchema(): StructType

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    Definition Classes
    H2OMOJOPredictionClustering
  98. def getClusteringPredictionUDF(schema: StructType, modelUID: String, mojoFileName: String, configInitializers: Seq[(Config) ⇒ Config]): UserDefinedFunction

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    Definition Classes
    H2OMOJOPredictionClustering
  99. def getCoefficients(): DataFrame

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    Definition Classes
    H2OMOJOModel
  100. def getColSampleByLevel(): Double

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  101. def getColSampleByNode(): Double

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  102. def getColSampleByTree(): Double

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  103. def getColSampleRate(): Double

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  104. def getColSampleRatePerTree(): Double

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  105. def getContributionsSchema(model: EasyPredictModelWrapper): DataType

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

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    Definition Classes
    H2OBaseMOJOParams
  107. def getConvertUnknownCategoricalLevelsToNa(): Boolean

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

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    Definition Classes
    H2OMOJOPredictionCoxPH
  109. def getCoxPHPredictionSchema(): StructType

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    Definition Classes
    H2OMOJOPredictionCoxPH
  110. def getCoxPHPredictionUDF(schema: StructType, modelUID: String, mojoFileName: String, configInitializers: Seq[(Config) ⇒ Config]): UserDefinedFunction

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    Definition Classes
    H2OMOJOPredictionCoxPH
  111. 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
  112. 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
  113. 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
  114. def getCrossValidationModels(): Seq[H2OXGBoostMOJOModel.this.type]

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

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    Definition Classes
    H2OMOJOModel
  116. 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
  117. 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
  118. def getDataFrameSerializer(): String

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

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    Definition Classes
    Params
  120. def getDefaultThreshold(): Double

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    Definition Classes
    H2OMOJOModel
  121. def getDetailedPredictionCol(): String

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

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

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  124. def getDimReductionPredictionSchema(): StructType

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  125. def getDimReductionPredictionUDF(schema: StructType, modelUID: String, mojoFileName: String, configInitializers: Seq[(Config) ⇒ Config]): UserDefinedFunction

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  126. def getDistribution(): String

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  127. def getDmatrixType(): String

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

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    Definition Classes
    H2OMOJOModel
  129. def getEndTime(): Long

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    Definition Classes
    H2OMOJOModel
  130. def getEta(): Double

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  131. def getExportCheckpointsDir(): String

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  132. def getFeatureImportances(): DataFrame

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

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

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    Definition Classes
    H2OAlgorithmMOJOParams
  135. def getFoldAssignment(): String

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  136. def getFoldCol(): String

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  137. def getGainsliftBins(): Int

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  138. def getGamma(): Float

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  139. def getGpuId(): Array[Int]

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  140. def getGrowPolicy(): String

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  141. def getIgnoreConstCols(): Boolean

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  142. def getIgnoredCols(): Array[String]

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    Definition Classes
    HasIgnoredColsOnMOJO
  143. def getInteractionConstraints(): Array[Array[String]]

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  144. def getKeepCrossValidationFoldAssignment(): Boolean

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  145. def getKeepCrossValidationModels(): Boolean

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  146. def getKeepCrossValidationPredictions(): Boolean

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  147. def getLabelCol(): String

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  148. def getLearnRate(): Double

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  149. def getMaxAbsLeafnodePred(): Float

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  150. def getMaxBins(): Int

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  151. def getMaxDeltaStep(): Float

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  152. def getMaxDepth(): Int

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  153. def getMaxLeaves(): Int

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  154. def getMaxRuntimeSecs(): Double

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  155. def getMinChildWeight(): Double

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  156. def getMinRows(): Double

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  157. def getMinSplitImprovement(): Float

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  158. def getModelCategory(): String

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    Definition Classes
    H2OMOJOModel
  159. def getModelDetails(): String

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

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

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

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    Definition Classes
    H2OMOJOModel
  163. def getMonotoneConstraints(): Map[String, Double]

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

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    Definition Classes
    H2OMOJOPredictionMultinomial
  165. def getMultinomialPredictionSchema(): StructType

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    Definition Classes
    H2OMOJOPredictionMultinomial
  166. def getMultinomialPredictionUDF(schema: StructType, modelUID: String, mojoFileName: String, configInitializers: Seq[(Config) ⇒ Config]): UserDefinedFunction

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    Definition Classes
    H2OMOJOPredictionMultinomial
  167. def getNamedMojoOutputColumns(): Boolean

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    Definition Classes
    H2OAlgorithmMOJOParams
    Annotations
    @DeprecatedMethod( x$2 , x$1 )
  168. def getNfolds(): Int

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  169. def getNormalizeType(): String

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  170. def getNthread(): Int

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  171. def getNtrees(): Int

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    Definition Classes
    H2OTreeBasedMOJOParams
  172. def getOffsetCol(): String

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    Definition Classes
    H2OSupervisedMOJOParams
  173. def getOneDrop(): Boolean

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

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

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    Definition Classes
    H2OMOJOPredictionOrdinal
  176. def getOrdinalPredictionSchema(): StructType

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    Definition Classes
    H2OMOJOPredictionOrdinal
  177. def getOrdinalPredictionUDF(schema: StructType, modelUID: String, mojoFileName: String, configInitializers: Seq[(Config) ⇒ Config]): UserDefinedFunction

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

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    Definition Classes
    Params
  179. def getPredictionCol(): String

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

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    Definition Classes
    H2OMOJOPrediction
  181. def getPredictionSchema(): StructType

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    Definition Classes
    H2OMOJOPrediction
  182. def getPredictionUDF(): UserDefinedFunction

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    Definition Classes
    H2OMOJOPrediction
  183. def getQuietMode(): Boolean

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  184. def getRateDrop(): Float

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  185. def getRegAlpha(): Float

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  186. def getRegLambda(): Float

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  187. def getRegressionPredictionColSchema(): Seq[StructField]

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    Definition Classes
    H2OMOJOPredictionRegression
  188. def getRegressionPredictionSchema(): StructType

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    Definition Classes
    H2OMOJOPredictionRegression
  189. def getRegressionPredictionUDF(schema: StructType, modelUID: String, mojoFileName: String, configInitializers: Seq[(Config) ⇒ Config]): UserDefinedFunction

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

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    Attributes
    protected
    Definition Classes
    H2OMOJOFlattenedInput
  191. def getRunTime(): Long

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    Definition Classes
    H2OMOJOModel
  192. def getSampleRate(): Double

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  193. def getSampleType(): String

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  194. def getSaveMatrixDirectory(): String

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  195. def getScalePosWeight(): Float

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  196. def getScoreEachIteration(): Boolean

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  197. def getScoreTreeInterval(): Int

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  198. def getScoringHistory(): DataFrame

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    Definition Classes
    H2OMOJOModel
  199. def getSeed(): Long

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  200. def getSkipDrop(): Float

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  201. def getStageProbabilitiesSchema(model: EasyPredictModelWrapper): DataType

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    Attributes
    protected
    Definition Classes
    PredictionWithStageProbabilities
  202. def getStartTime(): Long

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    Definition Classes
    H2OMOJOModel
  203. def getStoppingMetric(): String

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  204. def getStoppingRounds(): Int

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  205. def getStoppingTolerance(): Double

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  206. def getSubsample(): Double

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  207. 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
  208. 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
  209. def getTrainingParams(): Map[String, String]

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    Definition Classes
    H2OMOJOModel
  210. def getTreeMethod(): String

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  211. def getTweediePower(): Double

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  212. 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
  213. 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
  214. def getWeightCol(): String

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  215. def getWithContributions(): Boolean

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    Definition Classes
    H2OAlgorithmMOJOParams
  216. def getWithLeafNodeAssignments(): Boolean

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    Definition Classes
    H2OAlgorithmMOJOParams
  217. def getWithStageResults(): Boolean

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

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  219. def getWordEmbeddingPredictionSchema(): StructType

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  220. def getWordEmbeddingPredictionUDF(schema: StructType, modelUID: String, mojoFileName: String, configInitializers: Seq[(Config) ⇒ Config], featureCols: Seq[String]): UserDefinedFunction

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  221. val gpuId: NullableIntArrayParam

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    Attributes
    protected
  222. val growPolicy: NullableStringParam

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

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

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    Definition Classes
    Params
  225. def hasParent: Boolean

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    Definition Classes
    Model
  226. def hashCode(): Int

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    Definition Classes
    AnyRef → Any
  227. val ignoreConstCols: BooleanParam

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

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

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

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

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

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    Attributes
    protected
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    ParameterConstructorMethods
  233. val interactionConstraints: NullableStringArrayArrayParam

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

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

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

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    Definition Classes
    Params
  237. def isTraceEnabled(): Boolean

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

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

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    Attributes
    protected
    Definition Classes
    H2OMOJOModelUtils
  240. val keepCrossValidationFoldAssignment: BooleanParam

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    Attributes
    protected
  241. val keepCrossValidationModels: BooleanParam

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    Attributes
    protected
  242. val keepCrossValidationPredictions: BooleanParam

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    Attributes
    protected
  243. val labelCol: Param[String]

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    Attributes
    protected
  244. val learnRate: DoubleParam

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    Attributes
    protected
  245. def log: Logger

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

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

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

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

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

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

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    Attributes
    protected
    Definition Classes
    Logging
  252. def logName: String

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

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

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

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

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

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    Attributes
    protected
    Definition Classes
    ParameterConstructorMethods
  258. val maxAbsLeafnodePred: FloatParam

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    Attributes
    protected
  259. val maxBins: IntParam

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    Attributes
    protected
  260. val maxDeltaStep: FloatParam

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    Attributes
    protected
  261. val maxDepth: IntParam

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    Attributes
    protected
  262. val maxLeaves: IntParam

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    Attributes
    protected
  263. val maxRuntimeSecs: DoubleParam

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    Attributes
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  264. val minChildWeight: DoubleParam

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    Attributes
    protected
  265. val minRows: DoubleParam

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    Attributes
    protected
  266. val minSplitImprovement: FloatParam

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    Attributes
    protected
  267. final val modelCategory: NullableStringParam

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

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

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

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

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

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    Attributes
    protected
    Definition Classes
    H2OMOJOModelUtils
  273. val nfolds: IntParam

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    Attributes
    protected
  274. val nonSerializableField: AnyRef

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    Definition Classes
    H2OMOJOModel
  275. val normalizeType: NullableStringParam

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    Attributes
    protected
  276. final def notify(): Unit

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

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    Definition Classes
    AnyRef
  278. val nthread: IntParam

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    Attributes
    protected
  279. final val ntrees: IntParam

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    Attributes
    protected
    Definition Classes
    H2OTreeBasedMOJOParams
  280. def nullableDataFrameParam(name: String, doc: String): NullableDataFrameParam

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    Attributes
    protected
    Definition Classes
    H2OMOJOModel
  281. def nullableDoubleArrayArrayParam(name: String, doc: String): NullableDoubleArrayArrayParam

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

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

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

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

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

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

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

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    ParameterConstructorMethods
  289. val oneDrop: BooleanParam

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    Attributes
    protected
  290. def outputColumnName: String

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

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    Attributes
    protected
    Definition Classes
    ParameterConstructorMethods
  292. lazy val params: Array[Param[_]]

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

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

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    Attributes
    protected
    Definition Classes
    H2OAlgorithmMOJOParams
  295. val quietMode: BooleanParam

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    Attributes
    protected
  296. val rateDrop: FloatParam

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    Attributes
    protected
  297. val regAlpha: FloatParam

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    Attributes
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  298. val regLambda: FloatParam

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    Attributes
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  299. final val runTime: LongParam

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    Attributes
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    Definition Classes
    H2OMOJOModel
  300. val sampleRate: DoubleParam

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    Attributes
    protected
  301. val sampleType: NullableStringParam

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    Attributes
    protected
  302. def save(path: String): Unit

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    Definition Classes
    MLWritable
    Annotations
    @Since( "1.6.0" ) @throws( ... )
  303. val saveMatrixDirectory: NullableStringParam

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    Attributes
    protected
  304. val scalePosWeight: FloatParam

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    Attributes
    protected
  305. val scoreEachIteration: BooleanParam

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    Attributes
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  306. val scoreTreeInterval: IntParam

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    Attributes
    protected
  307. final val scoringHistory: NullableDataFrameParam

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    Attributes
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    Definition Classes
    H2OMOJOModel
  308. val seed: LongParam

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    Attributes
    protected
  309. final def set(paramPair: ParamPair[_]): H2OXGBoostMOJOModel.this.type

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    Attributes
    protected
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    Params
  310. final def set(param: String, value: Any): H2OXGBoostMOJOModel.this.type

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    Attributes
    protected
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    Params
  311. final def set[T](param: Param[T], value: T): H2OXGBoostMOJOModel.this.type

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    Definition Classes
    Params
  312. def setDataFrameSerializer(fullClassName: String): H2OXGBoostMOJOModel.this.type

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    Definition Classes
    H2OBaseMOJOParams
  313. final def setDefault(paramPairs: ParamPair[_]*): H2OXGBoostMOJOModel.this.type

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    Attributes
    protected
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    Params
  314. final def setDefault[T](param: Param[T], value: T): H2OXGBoostMOJOModel.this.type

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    Attributes
    protected
    Definition Classes
    Params
  315. def setMojo(mojo: File): H2OXGBoostMOJOModel.this.type

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    Definition Classes
    HasMojo
  316. def setMojo(mojo: InputStream, mojoName: String): H2OXGBoostMOJOModel.this.type

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    Definition Classes
    HasMojo
  317. def setMojo(mojo: InputStream): H2OXGBoostMOJOModel.this.type

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

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    Definition Classes
    Model
  319. val skipDrop: FloatParam

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    Attributes
    protected
  320. final val startTime: LongParam

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    Attributes
    protected
    Definition Classes
    H2OMOJOModel
  321. val stoppingMetric: NullableStringParam

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    Attributes
    protected
  322. val stoppingRounds: IntParam

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    Attributes
    protected
  323. val stoppingTolerance: DoubleParam

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    Attributes
    protected
  324. def stringArrayParam(name: String, doc: String): StringArrayParam

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    Attributes
    protected
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    ParameterConstructorMethods
  325. def stringParam(name: String, doc: String): Param[String]

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    Attributes
    protected
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    ParameterConstructorMethods
  326. val subsample: DoubleParam

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    Attributes
    protected
  327. final def synchronized[T0](arg0: ⇒ T0): T0

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    Definition Classes
    AnyRef
  328. def toString(): String

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    Definition Classes
    H2OMOJOModel → Identifiable → AnyRef → Any
  329. final val trainingMetrics: MapStringDoubleParam

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    Attributes
    protected
    Definition Classes
    H2OMOJOModel
  330. final val trainingMetricsObject: NullableMetricsParam

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    Attributes
    protected
    Definition Classes
    H2OMOJOModel
  331. final val trainingParams: MapStringStringParam

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    Attributes
    protected
    Definition Classes
    H2OMOJOModel
  332. def transform(dataset: Dataset[_]): DataFrame

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

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

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

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

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    Attributes
    protected
    Definition Classes
    PipelineStage
    Annotations
    @DeveloperApi()
  337. val treeMethod: NullableStringParam

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    Attributes
    protected
  338. val tweediePower: DoubleParam

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    Attributes
    protected
  339. val uid: String

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  340. 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
  341. final val validationMetrics: MapStringDoubleParam

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    Attributes
    protected
    Definition Classes
    H2OMOJOModel
  342. final val validationMetricsObject: NullableMetricsParam

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    Attributes
    protected
    Definition Classes
    H2OMOJOModel
  343. final def wait(): Unit

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

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

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

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    Attributes
    protected
  347. final val withContributions: BooleanParam

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    Attributes
    protected
    Definition Classes
    H2OAlgorithmMOJOParams
  348. final val withLeafNodeAssignments: BooleanParam

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    Attributes
    protected
    Definition Classes
    H2OAlgorithmMOJOParams
  349. final val withStageResults: BooleanParam

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    Attributes
    protected
    Definition Classes
    H2OAlgorithmMOJOParams
  350. 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 HasDataFrameSerializer

Inherited from SpecificMOJOParameters

Inherited from H2OMOJOModelUtils

Inherited from Logging

Inherited from H2OMOJOWritable

Inherited from MLWritable

Inherited from HasMojo

Inherited from H2OMOJOFlattenedInput

Inherited from Model[H2OMOJOModel]

Inherited from Transformer

Inherited from PipelineStage

Inherited from Logging

Inherited from Params

Inherited from Serializable

Inherited from Serializable

Inherited from Identifiable

Inherited from AnyRef

Inherited from Any

Ungrouped