Class/Object

ai.h2o.sparkling.ml.models

H2ORuleFitMOJOModel

Related Docs: object H2ORuleFitMOJOModel | package models

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class H2ORuleFitMOJOModel extends H2OSupervisedMOJOModel with ParameterConstructorMethods with Logging with HasIgnoredColsOnMOJO

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Inherited
  1. H2ORuleFitMOJOModel
  2. HasIgnoredColsOnMOJO
  3. ParameterConstructorMethods
  4. H2OSupervisedMOJOModel
  5. H2OSupervisedMOJOParams
  6. H2OAlgorithmMOJOModel
  7. H2OAlgorithmMOJOParams
  8. H2OMOJOPrediction
  9. H2OMOJOPredictionOrdinal
  10. H2OMOJOPredictionCoxPH
  11. H2OMOJOPredictionBinomial
  12. H2OMOJOPredictionClustering
  13. H2OMOJOPredictionDimReduction
  14. H2OMOJOPredictionMultinomial
  15. PredictionWithStageProbabilities
  16. H2OMOJOPredictionAnomaly
  17. H2OMOJOPredictionWordEmbedding
  18. H2OMOJOPredictionRegression
  19. PredictionWithContributions
  20. H2OMOJOModel
  21. HasFeatureTypesOnMOJO
  22. H2OBaseMOJOParams
  23. HasDataFrameSerializer
  24. SpecificMOJOParameters
  25. H2OMOJOModelUtils
  26. Logging
  27. H2OMOJOWritable
  28. MLWritable
  29. HasMojo
  30. H2OMOJOFlattenedInput
  31. Model
  32. Transformer
  33. PipelineStage
  34. Logging
  35. Params
  36. Serializable
  37. Serializable
  38. Identifiable
  39. AnyRef
  40. Any
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Visibility
  1. Public
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Instance Constructors

  1. new H2ORuleFitMOJOModel(uid: String)

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Value Members

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

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

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

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

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    Definition Classes
    AnyRef → Any
  5. val algorithm: NullableStringParam

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

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

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

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    Definition Classes
    Any
  9. val aucType: NullableStringParam

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

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    Attributes
    protected
    Definition Classes
    ParameterConstructorMethods
  11. final def clear(param: Param[_]): H2ORuleFitMOJOModel.this.type

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    Definition Classes
    Params
  12. def clone(): AnyRef

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    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  13. final val convertInvalidNumbersToNa: BooleanParam

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

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

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

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

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

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

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

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

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

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

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    Attributes
    protected
    Definition Classes
    H2OAlgorithmMOJOParams
  24. val distribution: NullableStringParam

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

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

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

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

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

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    Definition Classes
    Params
  30. def explainParams(): String

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    Definition Classes
    Params
  31. def extractAnomalyPredictionColContent(): Column

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    Definition Classes
    H2OMOJOPredictionAnomaly
  32. def extractBinomialPredictionColContent(): Column

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    Definition Classes
    H2OMOJOPredictionBinomial
  33. def extractClusteringPredictionColContent(): Column

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    Definition Classes
    H2OMOJOPredictionClustering
  34. def extractCoxPHPredictionColContent(): Column

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

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

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  37. def extractFeatureImportances(outputJson: JsonObject): DataFrame

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

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

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

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

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

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    Definition Classes
    H2OMOJOPredictionMultinomial
  43. def extractOrdinalPredictionColContent(): Column

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

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

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

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

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    Definition Classes
    H2OMOJOPrediction
  48. def extractRegressionPredictionColContent(): Column

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

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

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  51. final val featureImportances: NullableDataFrameParam

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

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

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

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

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

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    Definition Classes
    Params
  57. def getAlgorithm(): String

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  58. def getAnomalyPredictionColSchema(): Seq[StructField]

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    Definition Classes
    H2OMOJOPredictionAnomaly
  59. def getAnomalyPredictionSchema(): StructType

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    Definition Classes
    H2OMOJOPredictionAnomaly
  60. def getAnomalyPredictionUDF(): UserDefinedFunction

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    Definition Classes
    H2OMOJOPredictionAnomaly
  61. def getAucType(): String

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  62. def getBinomialPredictionColSchema(): Seq[StructField]

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    Definition Classes
    H2OMOJOPredictionBinomial
  63. def getBinomialPredictionSchema(): StructType

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    Definition Classes
    H2OMOJOPredictionBinomial
  64. def getBinomialPredictionUDF(): UserDefinedFunction

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    Definition Classes
    H2OMOJOPredictionBinomial
  65. final def getClass(): Class[_]

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

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    Definition Classes
    H2OMOJOPredictionClustering
  67. def getClusteringPredictionSchema(): StructType

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    Definition Classes
    H2OMOJOPredictionClustering
  68. def getClusteringPredictionUDF(): UserDefinedFunction

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    Definition Classes
    H2OMOJOPredictionClustering
  69. def getContributionsSchema(model: EasyPredictModelWrapper): DataType

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

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    Definition Classes
    H2OBaseMOJOParams
  71. def getConvertUnknownCategoricalLevelsToNa(): Boolean

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

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    Definition Classes
    H2OMOJOPredictionCoxPH
  73. def getCoxPHPredictionSchema(): StructType

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    Definition Classes
    H2OMOJOPredictionCoxPH
  74. def getCoxPHPredictionUDF(): UserDefinedFunction

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    Definition Classes
    H2OMOJOPredictionCoxPH
  75. 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
  76. 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
  77. 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
  78. def getCrossValidationModels(): Seq[H2ORuleFitMOJOModel.this.type]

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    Definition Classes
    H2OMOJOModel
  79. 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
  80. 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
  81. def getDataFrameSerializer(): String

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

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    Definition Classes
    Params
  83. def getDetailedPredictionCol(): String

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

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

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  86. def getDimReductionPredictionSchema(): StructType

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  87. def getDimReductionPredictionUDF(): UserDefinedFunction

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  88. def getDistribution(): String

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

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    Definition Classes
    H2OMOJOModel
  90. def getFeatureImportances(): DataFrame

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

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

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    Definition Classes
    H2OAlgorithmMOJOParams
  93. def getIgnoredCols(): Array[String]

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    Definition Classes
    HasIgnoredColsOnMOJO
  94. def getLabelCol(): String

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  95. def getMaxNumRules(): Int

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  96. def getMaxRuleLength(): Int

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  97. def getMinRuleLength(): Int

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  98. def getModelCategory(): String

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    Definition Classes
    H2OMOJOModel
  99. def getModelDetails(): String

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

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

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    Attributes
    protected
    Definition Classes
    H2OMOJOModelUtils
  102. def getModelType(): String

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  103. def getMultinomialPredictionColSchema(): Seq[StructField]

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    Definition Classes
    H2OMOJOPredictionMultinomial
  104. def getMultinomialPredictionSchema(): StructType

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    Definition Classes
    H2OMOJOPredictionMultinomial
  105. def getMultinomialPredictionUDF(): UserDefinedFunction

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    Definition Classes
    H2OMOJOPredictionMultinomial
  106. def getNamedMojoOutputColumns(): Boolean

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    Definition Classes
    H2OAlgorithmMOJOParams
  107. def getOffsetCol(): String

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

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

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    Definition Classes
    H2OMOJOPredictionOrdinal
  110. def getOrdinalPredictionSchema(): StructType

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    Definition Classes
    H2OMOJOPredictionOrdinal
  111. def getOrdinalPredictionUDF(): UserDefinedFunction

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

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    Definition Classes
    Params
  113. def getPredictionCol(): String

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

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    Definition Classes
    H2OMOJOPrediction
  115. def getPredictionSchema(): StructType

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    Definition Classes
    H2OMOJOPrediction
  116. def getPredictionUDF(): UserDefinedFunction

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

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    Definition Classes
    H2OMOJOPredictionRegression
  118. def getRegressionPredictionSchema(): StructType

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    Definition Classes
    H2OMOJOPredictionRegression
  119. def getRegressionPredictionUDF(): UserDefinedFunction

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

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    Attributes
    protected
    Definition Classes
    H2OMOJOFlattenedInput
  121. def getRemoveDuplicates(): Boolean

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  122. def getRuleGenerationNtrees(): Int

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  123. def getScoringHistory(): DataFrame

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    Definition Classes
    H2OMOJOModel
  124. def getSeed(): Long

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  125. def getStageProbabilitiesSchema(model: EasyPredictModelWrapper): DataType

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    Attributes
    protected
    Definition Classes
    PredictionWithStageProbabilities
  126. 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
  127. 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
  128. def getTrainingParams(): Map[String, String]

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    Definition Classes
    H2OMOJOModel
  129. 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
  130. 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
  131. def getWeightCol(): String

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  132. def getWithContributions(): Boolean

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    Definition Classes
    H2OAlgorithmMOJOParams
  133. def getWithDetailedPredictionCol(): Boolean

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

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    Definition Classes
    H2OAlgorithmMOJOParams
  135. def getWithStageResults(): Boolean

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

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  137. def getWordEmbeddingPredictionSchema(): StructType

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  138. def getWordEmbeddingPredictionUDF(): UserDefinedFunction

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

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    Params
  140. def hasParam(paramName: String): Boolean

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    Definition Classes
    Params
  141. def hasParent: Boolean

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    Definition Classes
    Model
  142. def hashCode(): Int

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    Definition Classes
    AnyRef → Any
  143. def initializeLogIfNecessary(isInterpreter: Boolean, silent: Boolean): Boolean

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    Attributes
    protected
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    Logging
  144. def initializeLogIfNecessary(isInterpreter: Boolean): Unit

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    Attributes
    protected
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    Logging
  145. def inputColumnNames: Array[String]

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

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    protected
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    ParameterConstructorMethods
  147. def intParam(name: String, doc: String): IntParam

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    ParameterConstructorMethods
  148. final def isDefined(param: Param[_]): Boolean

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    Params
  149. final def isInstanceOf[T0]: Boolean

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    Any
  150. final def isSet(param: Param[_]): Boolean

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    Definition Classes
    Params
  151. def isTraceEnabled(): Boolean

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    Attributes
    protected
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    Logging
  152. def jsonFieldToDataFrame(outputJson: JsonObject, fieldName: String): DataFrame

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    protected
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    H2OMOJOModelUtils
  153. val labelCol: Param[String]

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    protected
  154. def log: Logger

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    Logging
  155. def logDebug(msg: ⇒ String, throwable: Throwable): Unit

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

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

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

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

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

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    Logging
  161. def logName: String

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

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

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

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

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

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    ParameterConstructorMethods
  167. val maxNumRules: IntParam

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    protected
  168. val maxRuleLength: IntParam

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    Attributes
    protected
  169. val minRuleLength: IntParam

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    Attributes
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  170. final val modelCategory: NullableStringParam

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

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    Attributes
    protected
    Definition Classes
    H2OMOJOModel
  172. val modelType: NullableStringParam

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    Attributes
    protected
  173. final val namedMojoOutputColumns: Param[Boolean]

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

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    Definition Classes
    AnyRef
  175. final def notify(): Unit

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

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    Definition Classes
    AnyRef
  177. def nullableDoubleArrayArrayParam(name: String, doc: String): NullableDoubleArrayArrayParam

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

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

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

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

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

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

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

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  185. def outputColumnName: String

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

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

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

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

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    Attributes
    protected
    Definition Classes
    H2OAlgorithmMOJOParams
  190. val removeDuplicates: BooleanParam

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    Attributes
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  191. val ruleGenerationNtrees: IntParam

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

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    Definition Classes
    MLWritable
    Annotations
    @Since( "1.6.0" ) @throws( ... )
  193. final val scoringHistory: NullableDataFrameParam

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    H2OMOJOModel
  194. val seed: LongParam

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  195. final def set(paramPair: ParamPair[_]): H2ORuleFitMOJOModel.this.type

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  196. final def set(param: String, value: Any): H2ORuleFitMOJOModel.this.type

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    Attributes
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  197. final def set[T](param: Param[T], value: T): H2ORuleFitMOJOModel.this.type

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    Definition Classes
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  198. def setDataFrameSerializer(fullClassName: String): H2ORuleFitMOJOModel.this.type

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    Definition Classes
    H2OBaseMOJOParams
  199. final def setDefault(paramPairs: ParamPair[_]*): H2ORuleFitMOJOModel.this.type

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  200. final def setDefault[T](param: Param[T], value: T): H2ORuleFitMOJOModel.this.type

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    Attributes
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  201. def setMojo(mojo: File): H2ORuleFitMOJOModel.this.type

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    Definition Classes
    HasMojo
  202. def setMojo(mojo: InputStream, mojoName: String): H2ORuleFitMOJOModel.this.type

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    Definition Classes
    HasMojo
  203. def setMojo(mojo: InputStream): H2ORuleFitMOJOModel.this.type

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

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    Definition Classes
    Model
  205. def stringArrayParam(name: String, doc: String): StringArrayParam

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

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

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    Definition Classes
    AnyRef
  208. def toString(): String

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

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    H2OMOJOModel
  210. final val trainingMetricsObject: NullableMetricsParam

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    H2OMOJOModel
  211. final val trainingParams: MapStringStringParam

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

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

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    Definition Classes
    Transformer
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    @Since( "2.0.0" )
  214. 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()
  215. def transformSchema(schema: StructType): StructType

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

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    @DeveloperApi()
  217. val uid: String

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    Definition Classes
    H2ORuleFitMOJOModelH2OSupervisedMOJOModelH2OAlgorithmMOJOModel → Identifiable
  218. 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
  219. final val validationMetrics: MapStringDoubleParam

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    H2OMOJOModel
  220. final val validationMetricsObject: NullableMetricsParam

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    H2OMOJOModel
  221. final def wait(): Unit

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

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

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

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  225. final val withContributions: BooleanParam

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    H2OAlgorithmMOJOParams
  226. final val withDetailedPredictionCol: BooleanParam

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    H2OAlgorithmMOJOParams
  227. final val withLeafNodeAssignments: BooleanParam

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    H2OAlgorithmMOJOParams
  228. final val withStageResults: BooleanParam

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    H2OAlgorithmMOJOParams
  229. def write: MLWriter

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    Definition Classes
    H2OMOJOWritable → MLWritable

Inherited from HasIgnoredColsOnMOJO

Inherited from H2OSupervisedMOJOModel

Inherited from H2OSupervisedMOJOParams

Inherited from H2OAlgorithmMOJOModel

Inherited from H2OAlgorithmMOJOParams

Inherited from H2OMOJOPrediction

Inherited from H2OMOJOPredictionOrdinal

Inherited from H2OMOJOPredictionCoxPH

Inherited from H2OMOJOPredictionBinomial

Inherited from H2OMOJOPredictionAnomaly

Inherited from H2OMOJOModel

Inherited from HasFeatureTypesOnMOJO

Inherited from H2OBaseMOJOParams

Inherited from 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