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. SpecificMOJOParameters
  26. H2OMOJOModelUtils
  27. Logging
  28. H2OMOJOWritable
  29. MLWritable
  30. HasMojo
  31. H2OMOJOFlattenedInput
  32. Model
  33. Transformer
  34. PipelineStage
  35. Logging
  36. Params
  37. Serializable
  38. Serializable
  39. Identifiable
  40. AnyRef
  41. Any
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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 def defaultCopy[T <: Params](extra: ParamMap): T

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

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    Attributes
    protected
    Definition Classes
    H2OAlgorithmMOJOParams
  32. val distribution: NullableStringParam

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

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

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

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

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

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    Definition Classes
    Params
  38. def explainParams(): String

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    Definition Classes
    Params
  39. val exportCheckpointsDir: NullableStringParam

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    Attributes
    protected
  40. def extractAnomalyPredictionColContent(): Column

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    Definition Classes
    H2OMOJOPredictionAnomaly
  41. def extractBinomialPredictionColContent(): Column

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    Definition Classes
    H2OMOJOPredictionBinomial
  42. def extractClusteringPredictionColContent(): Column

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    Definition Classes
    H2OMOJOPredictionClustering
  43. def extractCoxPHPredictionColContent(): Column

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

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

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  46. def extractFeatureImportances(outputJson: JsonObject): DataFrame

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

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

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

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

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

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    Definition Classes
    H2OMOJOPredictionMultinomial
  52. def extractOrdinalPredictionColContent(): Column

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

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

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

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

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    Definition Classes
    H2OMOJOPrediction
  57. def extractRegressionPredictionColContent(): Column

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

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

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  60. final val featureImportances: NullableDataFrameParam

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

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

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

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

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    Attributes
    protected
    Definition Classes
    ParameterConstructorMethods
  65. val foldAssignment: NullableStringParam

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    Attributes
    protected
  66. val foldCol: NullableStringParam

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    Attributes
    protected
  67. val gainsliftBins: IntParam

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

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

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    Definition Classes
    H2OMOJOPredictionAnomaly
  70. def getAnomalyPredictionSchema(): StructType

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    Definition Classes
    H2OMOJOPredictionAnomaly
  71. def getAnomalyPredictionUDF(): UserDefinedFunction

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    Definition Classes
    H2OMOJOPredictionAnomaly
  72. def getAucType(): String

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  73. def getBalanceClasses(): Boolean

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  74. def getBinomialDoubleTrees(): Boolean

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  75. def getBinomialPredictionColSchema(): Seq[StructField]

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    Definition Classes
    H2OMOJOPredictionBinomial
  76. def getBinomialPredictionSchema(): StructType

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    Definition Classes
    H2OMOJOPredictionBinomial
  77. def getBinomialPredictionUDF(): UserDefinedFunction

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    Definition Classes
    H2OMOJOPredictionBinomial
  78. def getBuildTreeOneNode(): Boolean

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  79. def getCalibrateModel(): Boolean

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  80. def getCategoricalEncoding(): String

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  81. def getCheckConstantResponse(): Boolean

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

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

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  84. def getClusteringPredictionColSchema(): Seq[StructField]

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    Definition Classes
    H2OMOJOPredictionClustering
  85. def getClusteringPredictionSchema(): StructType

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    Definition Classes
    H2OMOJOPredictionClustering
  86. def getClusteringPredictionUDF(): UserDefinedFunction

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    Definition Classes
    H2OMOJOPredictionClustering
  87. def getColSampleRateChangePerLevel(): Double

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  88. def getColSampleRatePerTree(): Double

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  89. def getContributionsSchema(model: EasyPredictModelWrapper): DataType

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

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    Definition Classes
    H2OBaseMOJOParams
  91. def getConvertUnknownCategoricalLevelsToNa(): Boolean

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

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    Definition Classes
    H2OMOJOPredictionCoxPH
  93. def getCoxPHPredictionSchema(): StructType

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    Definition Classes
    H2OMOJOPredictionCoxPH
  94. def getCoxPHPredictionUDF(): UserDefinedFunction

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    Definition Classes
    H2OMOJOPredictionCoxPH
  95. 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
  96. 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
  97. 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
  98. def getCrossValidationModels(): Seq[H2ODRFMOJOModel.this.type]

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    Definition Classes
    H2OMOJOModel
  99. 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
  100. 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
  101. def getCustomMetricFunc(): String

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

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    Definition Classes
    Params
  103. def getDetailedPredictionCol(): String

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

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

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  106. def getDimReductionPredictionSchema(): StructType

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  107. def getDimReductionPredictionUDF(): UserDefinedFunction

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  108. def getDistribution(): String

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

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    Definition Classes
    H2OMOJOModel
  110. def getExportCheckpointsDir(): String

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  111. def getFeatureImportances(): DataFrame

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

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

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    Definition Classes
    H2OAlgorithmMOJOParams
  114. def getFoldAssignment(): String

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  115. def getFoldCol(): String

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  116. def getGainsliftBins(): Int

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  117. def getHistogramType(): String

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  118. def getIgnoreConstCols(): Boolean

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  119. def getIgnoredCols(): Array[String]

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    Definition Classes
    HasIgnoredColsOnMOJO
  120. def getKeepCrossValidationFoldAssignment(): Boolean

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  121. def getKeepCrossValidationModels(): Boolean

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  122. def getKeepCrossValidationPredictions(): Boolean

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  123. def getLabelCol(): String

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  124. def getMaxAfterBalanceSize(): Float

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  125. def getMaxConfusionMatrixSize(): Int

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  126. def getMaxDepth(): Int

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  127. def getMaxRuntimeSecs(): Double

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  128. def getMinRows(): Double

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  129. def getMinSplitImprovement(): Double

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  130. def getModelCategory(): String

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    Definition Classes
    H2OMOJOModel
  131. def getModelDetails(): String

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

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

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

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  135. def getMultinomialPredictionColSchema(): Seq[StructField]

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    Definition Classes
    H2OMOJOPredictionMultinomial
  136. def getMultinomialPredictionSchema(): StructType

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    Definition Classes
    H2OMOJOPredictionMultinomial
  137. def getMultinomialPredictionUDF(): UserDefinedFunction

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    Definition Classes
    H2OMOJOPredictionMultinomial
  138. def getNamedMojoOutputColumns(): Boolean

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    Definition Classes
    H2OAlgorithmMOJOParams
  139. def getNbins(): Int

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  140. def getNbinsCats(): Int

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  141. def getNbinsTopLevel(): Int

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  142. def getNfolds(): Int

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  143. def getNtrees(): Int

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    Definition Classes
    H2OTreeBasedMOJOParams
  144. def getOffsetCol(): String

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

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

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    Definition Classes
    H2OMOJOPredictionOrdinal
  147. def getOrdinalPredictionSchema(): StructType

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    Definition Classes
    H2OMOJOPredictionOrdinal
  148. def getOrdinalPredictionUDF(): UserDefinedFunction

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

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    Definition Classes
    Params
  150. def getPredictionCol(): String

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

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    Definition Classes
    H2OMOJOPrediction
  152. def getPredictionSchema(): StructType

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    Definition Classes
    H2OMOJOPrediction
  153. def getPredictionUDF(): UserDefinedFunction

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

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    Definition Classes
    H2OMOJOPredictionRegression
  155. def getRegressionPredictionSchema(): StructType

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    Definition Classes
    H2OMOJOPredictionRegression
  156. def getRegressionPredictionUDF(): UserDefinedFunction

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

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

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  159. def getSampleRatePerClass(): Array[Double]

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  160. def getScoreEachIteration(): Boolean

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  161. def getScoreTreeInterval(): Int

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  162. def getScoringHistory(): DataFrame

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    Definition Classes
    H2OMOJOModel
  163. def getSeed(): Long

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  164. def getStageProbabilitiesSchema(model: EasyPredictModelWrapper): DataType

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

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  166. def getStoppingRounds(): Int

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  167. def getStoppingTolerance(): Double

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  168. 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
  169. 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
  170. def getTrainingParams(): Map[String, String]

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    Definition Classes
    H2OMOJOModel
  171. 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
  172. 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
  173. def getWeightCol(): String

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  174. def getWithContributions(): Boolean

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    Definition Classes
    H2OAlgorithmMOJOParams
  175. def getWithDetailedPredictionCol(): Boolean

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

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    Definition Classes
    H2OAlgorithmMOJOParams
  177. def getWithStageResults(): Boolean

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

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  179. def getWordEmbeddingPredictionSchema(): StructType

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  180. def getWordEmbeddingPredictionUDF(): UserDefinedFunction

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

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

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    Definition Classes
    Params
  183. def hasParent: Boolean

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    Definition Classes
    Model
  184. def hashCode(): Int

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    Definition Classes
    AnyRef → Any
  185. val histogramType: NullableStringParam

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    Attributes
    protected
  186. val ignoreConstCols: BooleanParam

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

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

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

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

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

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

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

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    Definition Classes
    Params
  194. def isTraceEnabled(): Boolean

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

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    Attributes
    protected
    Definition Classes
    H2OMOJOModelUtils
  196. val keepCrossValidationFoldAssignment: BooleanParam

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    Attributes
    protected
  197. val keepCrossValidationModels: BooleanParam

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    Attributes
    protected
  198. val keepCrossValidationPredictions: BooleanParam

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    Attributes
    protected
  199. val labelCol: Param[String]

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    Attributes
    protected
  200. def log: Logger

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

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

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

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

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

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

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    Logging
  207. def logName: String

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

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

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

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

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

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  213. val maxAfterBalanceSize: FloatParam

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  214. val maxConfusionMatrixSize: IntParam

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  215. val maxDepth: IntParam

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  216. val maxRuntimeSecs: DoubleParam

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  217. val minRows: DoubleParam

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  218. val minSplitImprovement: DoubleParam

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  219. final val modelCategory: NullableStringParam

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    H2OMOJOModel
  220. final val modelDetails: NullableStringParam

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    H2OMOJOModel
  221. val mtries: IntParam

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    Attributes
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  222. final val namedMojoOutputColumns: Param[Boolean]

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    Attributes
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    H2OAlgorithmMOJOParams
  223. val nbins: IntParam

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    Attributes
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  224. val nbinsCats: IntParam

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    Attributes
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  225. val nbinsTopLevel: IntParam

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

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  227. val nfolds: IntParam

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  228. final def notify(): Unit

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    AnyRef
  229. final def notifyAll(): Unit

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    Definition Classes
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  230. final val ntrees: IntParam

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

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

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

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

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

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

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

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

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

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  240. def outputColumnName: String

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

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

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

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

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    Attributes
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    H2OAlgorithmMOJOParams
  245. val sampleRate: DoubleParam

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  246. val sampleRatePerClass: NullableDoubleArrayParam

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  247. def save(path: String): Unit

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

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  249. val scoreTreeInterval: IntParam

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  250. final val scoringHistory: NullableDataFrameParam

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    H2OMOJOModel
  251. val seed: LongParam

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

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

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

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  255. final def setDefault(paramPairs: ParamPair[_]*): H2ODRFMOJOModel.this.type

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

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

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

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

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

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    Definition Classes
    Model
  261. val stoppingMetric: NullableStringParam

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  262. val stoppingRounds: IntParam

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  263. val stoppingTolerance: DoubleParam

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

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

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

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  267. def toString(): String

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

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    H2OMOJOModel
  269. final val trainingMetricsObject: NullableMetricsParam

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    H2OMOJOModel
  270. final val trainingParams: MapStringStringParam

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

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

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    Definition Classes
    Transformer
    Annotations
    @Since( "2.0.0" )
  273. 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()
  274. def transformSchema(schema: StructType): StructType

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

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    @DeveloperApi()
  276. val uid: String

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  277. 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
  278. final val validationMetrics: MapStringDoubleParam

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    H2OMOJOModel
  279. final val validationMetricsObject: NullableMetricsParam

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  280. final def wait(): Unit

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

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

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

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  284. final val withContributions: BooleanParam

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    H2OAlgorithmMOJOParams
  285. final val withDetailedPredictionCol: BooleanParam

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    H2OAlgorithmMOJOParams
  286. final val withLeafNodeAssignments: BooleanParam

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    H2OAlgorithmMOJOParams
  287. final val withStageResults: BooleanParam

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    H2OAlgorithmMOJOParams
  288. def write: MLWriter

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    Definition Classes
    H2OMOJOWritable → MLWritable

Inherited from HasIgnoredColsOnMOJO

Inherited from H2OTreeBasedMOJOParams

Inherited from H2OSupervisedMOJOModel

Inherited from H2OSupervisedMOJOParams

Inherited from H2OAlgorithmMOJOModel

Inherited from H2OAlgorithmMOJOParams

Inherited from H2OMOJOPrediction

Inherited from H2OMOJOPredictionOrdinal

Inherited from H2OMOJOPredictionCoxPH

Inherited from H2OMOJOPredictionBinomial

Inherited from H2OMOJOPredictionAnomaly

Inherited from H2OMOJOModel

Inherited from HasFeatureTypesOnMOJO

Inherited from H2OBaseMOJOParams

Inherited from SpecificMOJOParameters

Inherited from H2OMOJOModelUtils

Inherited from Logging

Inherited from H2OMOJOWritable

Inherited from MLWritable

Inherited from HasMojo

Inherited from H2OMOJOFlattenedInput

Inherited from Model[H2OMOJOModel]

Inherited from Transformer

Inherited from PipelineStage

Inherited from Logging

Inherited from Params

Inherited from Serializable

Inherited from Serializable

Inherited from Identifiable

Inherited from AnyRef

Inherited from Any

Ungrouped