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 defaultThreshold: DoubleParam

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

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    Attributes
    protected
    Definition Classes
    H2OAlgorithmMOJOParams
  25. val distribution: NullableStringParam

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

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

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

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

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

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

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    Definition Classes
    Params
  32. def explainParams(): String

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    Definition Classes
    Params
  33. def extractAnomalyPredictionColContent(): Column

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    Definition Classes
    H2OMOJOPredictionAnomaly
  34. def extractBinomialPredictionColContent(): Column

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    Definition Classes
    H2OMOJOPredictionBinomial
  35. def extractClusteringPredictionColContent(): Column

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    Definition Classes
    H2OMOJOPredictionClustering
  36. def extractCoxPHPredictionColContent(): Column

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

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

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  39. def extractFeatureImportances(outputJson: JsonObject): DataFrame

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

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

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

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

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

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

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    Definition Classes
    H2OMOJOPredictionMultinomial
  46. def extractOrdinalPredictionColContent(): Column

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

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

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

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

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    Definition Classes
    H2OMOJOPrediction
  51. def extractRegressionPredictionColContent(): Column

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

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

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  54. final val featureImportances: NullableDataFrameParam

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

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

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

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

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

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    Definition Classes
    Params
  60. def getAlgorithm(): String

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  61. def getAnomalyPredictionColSchema(): Seq[StructField]

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    Definition Classes
    H2OMOJOPredictionAnomaly
  62. def getAnomalyPredictionSchema(): StructType

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    Definition Classes
    H2OMOJOPredictionAnomaly
  63. def getAnomalyPredictionUDF(): UserDefinedFunction

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    Definition Classes
    H2OMOJOPredictionAnomaly
  64. def getAucType(): String

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  65. def getBinomialPredictionColSchema(): Seq[StructField]

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    Definition Classes
    H2OMOJOPredictionBinomial
  66. def getBinomialPredictionSchema(): StructType

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    Definition Classes
    H2OMOJOPredictionBinomial
  67. def getBinomialPredictionUDF(): UserDefinedFunction

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

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

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    Definition Classes
    H2OMOJOPredictionClustering
  70. def getClusteringPredictionSchema(): StructType

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    Definition Classes
    H2OMOJOPredictionClustering
  71. def getClusteringPredictionUDF(): UserDefinedFunction

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

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

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    Definition Classes
    H2OBaseMOJOParams
  74. def getConvertUnknownCategoricalLevelsToNa(): Boolean

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

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    Definition Classes
    H2OMOJOPredictionCoxPH
  76. def getCoxPHPredictionSchema(): StructType

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    Definition Classes
    H2OMOJOPredictionCoxPH
  77. def getCoxPHPredictionUDF(): UserDefinedFunction

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    Definition Classes
    H2OMOJOPredictionCoxPH
  78. 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
  79. 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
  80. 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
  81. def getCrossValidationModels(): Seq[H2ORuleFitMOJOModel.this.type]

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    Definition Classes
    H2OMOJOModel
  82. 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
  83. 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
  84. def getDataFrameSerializer(): String

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

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    Definition Classes
    Params
  86. def getDefaultThreshold(): Double

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    Definition Classes
    H2OMOJOModel
  87. def getDetailedPredictionCol(): String

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

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

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  90. def getDimReductionPredictionSchema(): StructType

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  91. def getDimReductionPredictionUDF(): UserDefinedFunction

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  92. def getDistribution(): String

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

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    Definition Classes
    H2OMOJOModel
  94. def getEndTime(): Long

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    Definition Classes
    H2OMOJOModel
  95. def getFeatureImportances(): DataFrame

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

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

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

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    Definition Classes
    HasIgnoredColsOnMOJO
  99. def getIntercept(): Array[Double]

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  100. def getLabelCol(): String

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  101. def getLambdaValue(): Array[Double]

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  102. def getMaxNumRules(): Int

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  103. def getMaxRuleLength(): Int

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  104. def getMinRuleLength(): Int

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  105. def getModelCategory(): String

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    Definition Classes
    H2OMOJOModel
  106. def getModelDetails(): String

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

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

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

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  110. def getMultinomialPredictionColSchema(): Seq[StructField]

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    Definition Classes
    H2OMOJOPredictionMultinomial
  111. def getMultinomialPredictionSchema(): StructType

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    Definition Classes
    H2OMOJOPredictionMultinomial
  112. def getMultinomialPredictionUDF(): UserDefinedFunction

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    Definition Classes
    H2OMOJOPredictionMultinomial
  113. def getNamedMojoOutputColumns(): Boolean

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    Definition Classes
    H2OAlgorithmMOJOParams
  114. def getOffsetCol(): String

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

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

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    Definition Classes
    H2OMOJOPredictionOrdinal
  117. def getOrdinalPredictionSchema(): StructType

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    Definition Classes
    H2OMOJOPredictionOrdinal
  118. def getOrdinalPredictionUDF(): UserDefinedFunction

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

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    Definition Classes
    Params
  120. def getPredictionCol(): String

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

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    Definition Classes
    H2OMOJOPrediction
  122. def getPredictionSchema(): StructType

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    Definition Classes
    H2OMOJOPrediction
  123. def getPredictionUDF(): UserDefinedFunction

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

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    Definition Classes
    H2OMOJOPredictionRegression
  125. def getRegressionPredictionSchema(): StructType

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    Definition Classes
    H2OMOJOPredictionRegression
  126. def getRegressionPredictionUDF(): UserDefinedFunction

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

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    Attributes
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    Definition Classes
    H2OMOJOFlattenedInput
  128. def getRemoveDuplicates(): Boolean

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  129. def getRuleGenerationNtrees(): Int

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  130. def getRuleImportance(): DataFrame

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  131. def getRunTime(): Long

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    Definition Classes
    H2OMOJOModel
  132. def getScoringHistory(): DataFrame

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    Definition Classes
    H2OMOJOModel
  133. def getSeed(): Long

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  134. def getStageProbabilitiesSchema(model: EasyPredictModelWrapper): DataType

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

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    Definition Classes
    H2OMOJOModel
  136. 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
  137. 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
  138. def getTrainingParams(): Map[String, String]

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    Definition Classes
    H2OMOJOModel
  139. 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
  140. 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
  141. def getWeightCol(): String

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  142. def getWithContributions(): Boolean

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    Definition Classes
    H2OAlgorithmMOJOParams
  143. def getWithLeafNodeAssignments(): Boolean

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    Definition Classes
    H2OAlgorithmMOJOParams
  144. def getWithStageResults(): Boolean

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

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  146. def getWordEmbeddingPredictionSchema(): StructType

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  147. def getWordEmbeddingPredictionUDF(): UserDefinedFunction

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

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

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    Definition Classes
    Params
  150. def hasParent: Boolean

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    Definition Classes
    Model
  151. def hashCode(): Int

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

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

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

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

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

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    ParameterConstructorMethods
  157. val intercept: NullableDoubleArrayParam

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

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

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

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    Definition Classes
    Params
  161. def isTraceEnabled(): Boolean

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

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

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    Attributes
    protected
    Definition Classes
    H2OMOJOModelUtils
  164. val labelCol: Param[String]

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    protected
  165. val lambdaValue: NullableDoubleArrayParam

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    Attributes
    protected
  166. def log: Logger

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

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

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

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

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

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

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    Definition Classes
    Logging
  173. def logName: String

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

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

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

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

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

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    Attributes
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    Definition Classes
    ParameterConstructorMethods
  179. val maxNumRules: IntParam

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    Attributes
    protected
  180. val maxRuleLength: IntParam

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    Attributes
    protected
  181. val minRuleLength: IntParam

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    Attributes
    protected
  182. final val modelCategory: NullableStringParam

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

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    Attributes
    protected
    Definition Classes
    H2OMOJOModel
  184. val modelType: NullableStringParam

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

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    Attributes
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    H2OAlgorithmMOJOParams
  186. final def ne(arg0: AnyRef): Boolean

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    AnyRef
  187. final def notify(): Unit

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  188. final def notifyAll(): Unit

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  189. def nullableDataFrameParam(name: String, doc: String): NullableDataFrameParam

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    Attributes
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    H2OMOJOModel
  190. def nullableDoubleArrayArrayParam(name: String, doc: String): NullableDoubleArrayArrayParam

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

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    Attributes
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  192. def nullableFloatArrayParam(name: String, doc: String): NullableFloatArrayParam

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

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    Attributes
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  194. def nullableStringArrayArrayParam(name: String, doc: String): NullableStringArrayArrayParam

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

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

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

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    Attributes
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  198. def outputColumnName: String

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

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

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

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

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    Attributes
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    H2OAlgorithmMOJOParams
  203. val removeDuplicates: BooleanParam

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    Attributes
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  204. val ruleGenerationNtrees: IntParam

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  205. val ruleImportance: NullableDataFrameParam

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  206. final val runTime: LongParam

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    Attributes
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    H2OMOJOModel
  207. def save(path: String): Unit

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

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    H2OMOJOModel
  209. val seed: LongParam

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

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

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

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

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

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

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  216. def setMojo(mojo: File): H2ORuleFitMOJOModel.this.type

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

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

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

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    Definition Classes
    Model
  220. final val startTime: LongParam

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    H2OMOJOModel
  221. def stringArrayParam(name: String, doc: String): StringArrayParam

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

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

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  224. def toString(): String

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

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    H2OMOJOModel
  226. final val trainingMetricsObject: NullableMetricsParam

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    H2OMOJOModel
  227. final val trainingParams: MapStringStringParam

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

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

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

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    Transformer
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    @Since( "2.0.0" ) @varargs()
  231. def transformSchema(schema: StructType): StructType

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

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    @DeveloperApi()
  233. val uid: String

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    Definition Classes
    H2ORuleFitMOJOModelH2OSupervisedMOJOModelH2OAlgorithmMOJOModel → Identifiable
  234. 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
  235. final val validationMetrics: MapStringDoubleParam

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  236. final val validationMetricsObject: NullableMetricsParam

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  237. final def wait(): Unit

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

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

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

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  241. final val withContributions: BooleanParam

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    H2OAlgorithmMOJOParams
  242. final val withLeafNodeAssignments: BooleanParam

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    H2OAlgorithmMOJOParams
  243. final val withStageResults: BooleanParam

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    H2OAlgorithmMOJOParams
  244. 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