Class/Object

ai.h2o.sparkling.ml.models

H2ODRFMOJOModel

Related Docs: object H2ODRFMOJOModel | package models

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class H2ODRFMOJOModel extends H2OTreeBasedSupervisedMOJOModel with ParameterConstructorMethods with Logging with HasIgnoredColsOnMOJO

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Inherited
  1. H2ODRFMOJOModel
  2. HasIgnoredColsOnMOJO
  3. ParameterConstructorMethods
  4. H2OTreeBasedSupervisedMOJOModel
  5. H2OTreeBasedMOJOParams
  6. H2OSupervisedMOJOModel
  7. H2OSupervisedMOJOParams
  8. H2OAlgorithmMOJOModel
  9. H2OAlgorithmMOJOParams
  10. H2OMOJOPrediction
  11. H2OMOJOPredictionOrdinal
  12. H2OMOJOPredictionCoxPH
  13. H2OMOJOPredictionBinomial
  14. H2OMOJOPredictionClustering
  15. H2OMOJOPredictionDimReduction
  16. H2OMOJOPredictionMultinomial
  17. PredictionWithStageProbabilities
  18. H2OMOJOPredictionAnomaly
  19. H2OMOJOPredictionWordEmbedding
  20. H2OMOJOPredictionRegression
  21. PredictionWithContributions
  22. H2OMOJOModel
  23. HasFeatureTypesOnMOJO
  24. H2OBaseMOJOParams
  25. HasDataFrameSerializer
  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
  1. Public
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Instance Constructors

  1. new H2ODRFMOJOModel(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. val binomialDoubleTrees: BooleanParam

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

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    Attributes
    protected
    Definition Classes
    ParameterConstructorMethods
  12. val buildTreeOneNode: BooleanParam

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    Attributes
    protected
  13. val calibrateModel: BooleanParam

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    Attributes
    protected
  14. val categoricalEncoding: NullableStringParam

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    Attributes
    protected
  15. val checkConstantResponse: BooleanParam

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    Attributes
    protected
  16. val classSamplingFactors: NullableFloatArrayParam

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    Attributes
    protected
  17. final def clear(param: Param[_]): H2ODRFMOJOModel.this.type

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    Definition Classes
    Params
  18. def clone(): AnyRef

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    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  19. 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 customMetricFunc: NullableStringParam

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    Attributes
    protected
  30. final val dataFrameSerializer: Param[String]

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    Attributes
    protected
    Definition Classes
    HasDataFrameSerializer
  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, dataFrameSerializerGetter: () ⇒ String): 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 getBinomialDoubleTrees(): Boolean

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  76. def getBinomialPredictionColSchema(): Seq[StructField]

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    Definition Classes
    H2OMOJOPredictionBinomial
  77. def getBinomialPredictionSchema(): StructType

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    Definition Classes
    H2OMOJOPredictionBinomial
  78. def getBinomialPredictionUDF(): UserDefinedFunction

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    Definition Classes
    H2OMOJOPredictionBinomial
  79. def getBuildTreeOneNode(): Boolean

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  80. def getCalibrateModel(): Boolean

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  81. def getCategoricalEncoding(): String

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  82. def getCheckConstantResponse(): Boolean

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

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

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  85. def getClusteringPredictionColSchema(): Seq[StructField]

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    Definition Classes
    H2OMOJOPredictionClustering
  86. def getClusteringPredictionSchema(): StructType

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    Definition Classes
    H2OMOJOPredictionClustering
  87. def getClusteringPredictionUDF(): UserDefinedFunction

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    Definition Classes
    H2OMOJOPredictionClustering
  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[H2ODRFMOJOModel.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 getCustomMetricFunc(): String

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  103. def getDataFrameSerializer(): String

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    Definition Classes
    HasDataFrameSerializer
  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 getIgnoreConstCols(): Boolean

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  121. def getIgnoredCols(): Array[String]

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    Definition Classes
    HasIgnoredColsOnMOJO
  122. def getKeepCrossValidationFoldAssignment(): Boolean

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  123. def getKeepCrossValidationModels(): Boolean

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  124. def getKeepCrossValidationPredictions(): Boolean

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  125. def getLabelCol(): String

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  126. def getMaxAfterBalanceSize(): Float

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  127. def getMaxConfusionMatrixSize(): Int

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  128. def getMaxDepth(): Int

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  129. def getMaxRuntimeSecs(): Double

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  130. def getMinRows(): Double

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  131. def getMinSplitImprovement(): Double

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  132. def getModelCategory(): String

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    Definition Classes
    H2OMOJOModel
  133. def getModelDetails(): String

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

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

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    Attributes
    protected
    Definition Classes
    H2OMOJOModelUtils
  136. def getMtries(): Int

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  137. def getMultinomialPredictionColSchema(): Seq[StructField]

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    Definition Classes
    H2OMOJOPredictionMultinomial
  138. def getMultinomialPredictionSchema(): StructType

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    Definition Classes
    H2OMOJOPredictionMultinomial
  139. def getMultinomialPredictionUDF(): UserDefinedFunction

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    Definition Classes
    H2OMOJOPredictionMultinomial
  140. def getNamedMojoOutputColumns(): Boolean

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    Definition Classes
    H2OAlgorithmMOJOParams
  141. def getNbins(): Int

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  142. def getNbinsCats(): Int

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  143. def getNbinsTopLevel(): Int

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  144. def getNfolds(): Int

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  145. def getNtrees(): Int

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    Definition Classes
    H2OTreeBasedMOJOParams
  146. def getOffsetCol(): String

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

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

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    Definition Classes
    H2OMOJOPredictionOrdinal
  149. def getOrdinalPredictionSchema(): StructType

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    Definition Classes
    H2OMOJOPredictionOrdinal
  150. def getOrdinalPredictionUDF(): UserDefinedFunction

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

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    Definition Classes
    Params
  152. def getPredictionCol(): String

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

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    Definition Classes
    H2OMOJOPrediction
  154. def getPredictionSchema(): StructType

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    Definition Classes
    H2OMOJOPrediction
  155. def getPredictionUDF(): UserDefinedFunction

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    Definition Classes
    H2OMOJOPrediction
  156. def getRegressionPredictionColSchema(): Seq[StructField]

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    Definition Classes
    H2OMOJOPredictionRegression
  157. def getRegressionPredictionSchema(): StructType

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    Definition Classes
    H2OMOJOPredictionRegression
  158. def getRegressionPredictionUDF(): UserDefinedFunction

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

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

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  161. def getSampleRatePerClass(): Array[Double]

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  162. def getScoreEachIteration(): Boolean

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  163. def getScoreTreeInterval(): Int

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  164. def getScoringHistory(): DataFrame

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    Definition Classes
    H2OMOJOModel
  165. def getSeed(): Long

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  166. def getStageProbabilitiesSchema(model: EasyPredictModelWrapper): DataType

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    Attributes
    protected
    Definition Classes
    PredictionWithStageProbabilities
  167. def getStoppingMetric(): String

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  168. def getStoppingRounds(): Int

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  169. def getStoppingTolerance(): Double

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  170. 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
  171. 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
  172. def getTrainingParams(): Map[String, String]

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    Definition Classes
    H2OMOJOModel
  173. 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
  174. 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
  175. def getWeightCol(): String

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  176. def getWithContributions(): Boolean

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    Definition Classes
    H2OAlgorithmMOJOParams
  177. def getWithDetailedPredictionCol(): Boolean

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

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    Definition Classes
    H2OAlgorithmMOJOParams
  179. def getWithStageResults(): Boolean

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

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  181. def getWordEmbeddingPredictionSchema(): StructType

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  182. def getWordEmbeddingPredictionUDF(): UserDefinedFunction

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

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

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    Definition Classes
    Params
  185. def hasParent: Boolean

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    Definition Classes
    Model
  186. def hashCode(): Int

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    Definition Classes
    AnyRef → Any
  187. val histogramType: NullableStringParam

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    Attributes
    protected
  188. val ignoreConstCols: BooleanParam

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

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

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

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

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

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

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

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    Definition Classes
    Params
  196. def isTraceEnabled(): Boolean

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

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    Attributes
    protected
    Definition Classes
    H2OMOJOModelUtils
  198. val keepCrossValidationFoldAssignment: BooleanParam

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    Attributes
    protected
  199. val keepCrossValidationModels: BooleanParam

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    Attributes
    protected
  200. val keepCrossValidationPredictions: BooleanParam

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    Attributes
    protected
  201. val labelCol: Param[String]

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    Attributes
    protected
  202. def log: Logger

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

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    Attributes
    protected
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    Logging
  204. def logDebug(msg: ⇒ String): Unit

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

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

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

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

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    Logging
  209. def logName: String

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

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    Logging
  211. def logTrace(msg: ⇒ String): Unit

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

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

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

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  215. val maxAfterBalanceSize: FloatParam

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  216. val maxConfusionMatrixSize: IntParam

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  217. val maxDepth: IntParam

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  218. val maxRuntimeSecs: DoubleParam

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  219. val minRows: DoubleParam

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  220. val minSplitImprovement: DoubleParam

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  221. final val modelCategory: NullableStringParam

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    H2OMOJOModel
  222. final val modelDetails: NullableStringParam

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    H2OMOJOModel
  223. val mtries: IntParam

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    Attributes
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  224. final val namedMojoOutputColumns: Param[Boolean]

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    H2OAlgorithmMOJOParams
  225. val nbins: IntParam

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    Attributes
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  226. val nbinsCats: IntParam

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    Attributes
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  227. val nbinsTopLevel: IntParam

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

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    AnyRef
  229. val nfolds: IntParam

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  230. final def notify(): Unit

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  231. final def notifyAll(): Unit

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    Definition Classes
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  232. final val ntrees: IntParam

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    Attributes
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    H2OTreeBasedMOJOParams
  233. def nullableDoubleArrayArrayParam(name: String, doc: String): NullableDoubleArrayArrayParam

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

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

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

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

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

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

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

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  241. def outputColumnName: String

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

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

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

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

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    Attributes
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    H2OAlgorithmMOJOParams
  246. val sampleRate: DoubleParam

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  247. val sampleRatePerClass: NullableDoubleArrayParam

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

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

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  250. val scoreTreeInterval: IntParam

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  251. final val scoringHistory: NullableDataFrameParam

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    H2OMOJOModel
  252. val seed: LongParam

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  253. final def set(paramPair: ParamPair[_]): H2ODRFMOJOModel.this.type

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  254. final def set(param: String, value: Any): H2ODRFMOJOModel.this.type

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  255. final def set[T](param: Param[T], value: T): H2ODRFMOJOModel.this.type

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    Definition Classes
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  256. def setDataFrameSerializer(fullClassName: String): H2ODRFMOJOModel.this.type

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    Definition Classes
    H2OBaseMOJOParams
  257. final def setDefault(paramPairs: ParamPair[_]*): H2ODRFMOJOModel.this.type

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  258. final def setDefault[T](param: Param[T], value: T): H2ODRFMOJOModel.this.type

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  259. def setMojo(mojo: File): H2ODRFMOJOModel.this.type

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    Definition Classes
    HasMojo
  260. def setMojo(mojo: InputStream, mojoName: String): H2ODRFMOJOModel.this.type

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    Definition Classes
    HasMojo
  261. def setMojo(mojo: InputStream): H2ODRFMOJOModel.this.type

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

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    Definition Classes
    Model
  263. val stoppingMetric: NullableStringParam

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  264. val stoppingRounds: IntParam

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  265. val stoppingTolerance: DoubleParam

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

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

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

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  269. def toString(): String

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

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    H2OMOJOModel
  271. final val trainingMetricsObject: NullableMetricsParam

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    H2OMOJOModel
  272. final val trainingParams: MapStringStringParam

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

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

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    Definition Classes
    Transformer
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    @Since( "2.0.0" )
  275. 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()
  276. def transformSchema(schema: StructType): StructType

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

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    @DeveloperApi()
  278. val uid: String

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  279. 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
  280. final val validationMetrics: MapStringDoubleParam

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    H2OMOJOModel
  281. final val validationMetricsObject: NullableMetricsParam

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  282. final def wait(): Unit

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

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

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  285. val weightCol: NullableStringParam

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  286. final val withContributions: BooleanParam

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    H2OAlgorithmMOJOParams
  287. final val withDetailedPredictionCol: BooleanParam

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    H2OAlgorithmMOJOParams
  288. final val withLeafNodeAssignments: BooleanParam

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    H2OAlgorithmMOJOParams
  289. final val withStageResults: BooleanParam

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    H2OAlgorithmMOJOParams
  290. 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