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
  2. All

Instance Constructors

  1. new H2ORuleFitMOJOModel(uid: String)

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Type Members

  1. class SerializationWarningsObject extends Serializable

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    Definition Classes
    H2OMOJOModel

Value Members

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

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

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

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

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    Definition Classes
    AnyRef → Any
  5. 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. var crossValidationModelsScoringHistory: NullableDataFrameArrayParam

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

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

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

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

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    Attributes
    protected
    Definition Classes
    H2OAlgorithmMOJOParams
  26. val distribution: NullableStringParam

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

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

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

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

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

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

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    Definition Classes
    Params
  33. def explainParams(): String

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    Definition Classes
    Params
  34. def extractAnomalyPredictionColContent(): Column

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    Definition Classes
    H2OMOJOPredictionAnomaly
  35. def extractBinomialPredictionColContent(): Column

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    Definition Classes
    H2OMOJOPredictionBinomial
  36. def extractClusteringPredictionColContent(): Column

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    Definition Classes
    H2OMOJOPredictionClustering
  37. def extractCoxPHPredictionColContent(): Column

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

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

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  40. def extractFeatureImportances(outputJson: JsonObject): DataFrame

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

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

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

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

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

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

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

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

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    Definition Classes
    H2OMOJOPredictionMultinomial
  49. def extractOrdinalPredictionColContent(): Column

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

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

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

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

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    Definition Classes
    H2OMOJOPrediction
  54. def extractRegressionPredictionColContent(): Column

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

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

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  57. final val featureImportances: NullableDataFrameParam

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

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

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

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

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

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    Definition Classes
    Params
  63. def getAlgorithm(): String

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  64. def getAnomalyPredictionColSchema(): Seq[StructField]

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    Definition Classes
    H2OMOJOPredictionAnomaly
  65. def getAnomalyPredictionSchema(): StructType

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

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    Definition Classes
    H2OMOJOPredictionAnomaly
  67. def getAucType(): String

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  68. def getBinomialPredictionColSchema(): Seq[StructField]

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    Definition Classes
    H2OMOJOPredictionBinomial
  69. def getBinomialPredictionSchema(): StructType

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

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

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

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    Definition Classes
    H2OMOJOPredictionClustering
  73. def getClusteringPredictionSchema(): StructType

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

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

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

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    Definition Classes
    H2OBaseMOJOParams
  77. def getConvertUnknownCategoricalLevelsToNa(): Boolean

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

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    Definition Classes
    H2OMOJOPredictionCoxPH
  79. def getCoxPHPredictionSchema(): StructType

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

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    Definition Classes
    H2OMOJOPredictionCoxPH
  81. 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
  82. 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
  83. 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
  84. def getCrossValidationModels(): Seq[H2ORuleFitMOJOModel.this.type]

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

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    Definition Classes
    H2OMOJOModel
  86. 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
  87. 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
  88. def getDataFrameSerializer(): String

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

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    Definition Classes
    Params
  90. def getDefaultThreshold(): Double

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    Definition Classes
    H2OMOJOModel
  91. def getDetailedPredictionCol(): String

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

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

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  94. def getDimReductionPredictionSchema(): StructType

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

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  96. def getDistribution(): String

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

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    Definition Classes
    H2OMOJOModel
  98. def getEndTime(): Long

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    Definition Classes
    H2OMOJOModel
  99. def getFeatureImportances(): DataFrame

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

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

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

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

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  104. def getLabelCol(): String

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  105. def getLambdaValue(): Array[Double]

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  106. def getMaxNumRules(): Int

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  107. def getMaxRuleLength(): Int

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  108. def getMinRuleLength(): Int

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  109. def getModelCategory(): String

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    Definition Classes
    H2OMOJOModel
  110. def getModelDetails(): String

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

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

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

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    Definition Classes
    H2OMOJOModel
  114. def getModelType(): String

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  115. def getMultinomialPredictionColSchema(): Seq[StructField]

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    Definition Classes
    H2OMOJOPredictionMultinomial
  116. def getMultinomialPredictionSchema(): StructType

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

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    Definition Classes
    H2OMOJOPredictionMultinomial
  118. def getNamedMojoOutputColumns(): Boolean

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    Definition Classes
    H2OAlgorithmMOJOParams
    Annotations
    @DeprecatedMethod( x$2 , x$1 )
  119. def getOffsetCol(): String

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

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

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    Definition Classes
    H2OMOJOPredictionOrdinal
  122. def getOrdinalPredictionSchema(): StructType

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

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

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    Definition Classes
    Params
  125. def getPredictionCol(): String

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

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    Definition Classes
    H2OMOJOPrediction
  127. def getPredictionSchema(): StructType

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    Definition Classes
    H2OMOJOPrediction
  128. def getPredictionUDF(): UserDefinedFunction

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

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    Definition Classes
    H2OMOJOPredictionRegression
  130. def getRegressionPredictionSchema(): StructType

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

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

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

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  134. def getRuleGenerationNtrees(): Int

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  135. def getRuleImportance(): DataFrame

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  136. def getRunTime(): Long

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    Definition Classes
    H2OMOJOModel
  137. def getScoringHistory(): DataFrame

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    Definition Classes
    H2OMOJOModel
  138. def getSeed(): Long

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  139. def getStageProbabilitiesSchema(model: EasyPredictModelWrapper): DataType

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

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    Definition Classes
    H2OMOJOModel
  141. 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
  142. 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
  143. def getTrainingParams(): Map[String, String]

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    Definition Classes
    H2OMOJOModel
  144. 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
  145. 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
  146. def getWeightCol(): String

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  147. def getWithContributions(): Boolean

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    Definition Classes
    H2OAlgorithmMOJOParams
  148. def getWithLeafNodeAssignments(): Boolean

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    Definition Classes
    H2OAlgorithmMOJOParams
  149. def getWithStageResults(): Boolean

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

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  151. def getWordEmbeddingPredictionSchema(): StructType

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

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

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

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    Definition Classes
    Params
  155. def hasParent: Boolean

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    Definition Classes
    Model
  156. def hashCode(): Int

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

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

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

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

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

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    Attributes
    protected
    Definition Classes
    ParameterConstructorMethods
  162. val intercept: NullableDoubleArrayParam

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

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

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

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    Definition Classes
    Params
  166. def isTraceEnabled(): Boolean

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

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

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

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    Attributes
    protected
  170. val lambdaValue: NullableDoubleArrayParam

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    Attributes
    protected
  171. def log: Logger

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

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

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

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

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

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

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    Logging
  178. def logName: String

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

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

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

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

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

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  184. val maxNumRules: IntParam

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    Attributes
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  185. val maxRuleLength: IntParam

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  186. val minRuleLength: IntParam

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  187. final val modelCategory: NullableStringParam

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    H2OMOJOModel
  188. final val modelDetails: NullableStringParam

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    H2OMOJOModel
  189. final val modelSummary: NullableDataFrameParam

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    H2OMOJOModel
  190. val modelType: NullableStringParam

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    Attributes
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  191. final val namedMojoOutputColumns: Param[Boolean]

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

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    AnyRef
  193. val nonSerializableField: AnyRef

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    Definition Classes
    H2OMOJOModel
  194. final def notify(): Unit

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  195. final def notifyAll(): Unit

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

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

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

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

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

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

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

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

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

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  205. def outputColumnName: String

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

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

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

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

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    Attributes
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    H2OAlgorithmMOJOParams
  210. val removeDuplicates: BooleanParam

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  211. val ruleGenerationNtrees: IntParam

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  212. val ruleImportance: NullableDataFrameParam

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  213. final val runTime: LongParam

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

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

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    H2OMOJOModel
  216. val seed: LongParam

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

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

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

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  220. def setDataFrameSerializer(fullClassName: String): H2ORuleFitMOJOModel.this.type

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

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

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

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

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

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

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    Definition Classes
    Model
  227. final val startTime: LongParam

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

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

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

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  231. def toString(): String

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    H2OMOJOModel → Identifiable → AnyRef → Any
  232. final val trainingMetrics: MapStringDoubleParam

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    H2OMOJOModel
  233. final val trainingMetricsObject: NullableMetricsParam

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  234. final val trainingParams: MapStringStringParam

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

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

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    Definition Classes
    Transformer
    Annotations
    @Since( "2.0.0" )
  237. 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()
  238. def transformSchema(schema: StructType): StructType

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

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    @DeveloperApi()
  240. val uid: String

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    Definition Classes
    H2ORuleFitMOJOModelH2OSupervisedMOJOModelH2OAlgorithmMOJOModel → Identifiable
  241. 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
  242. final val validationMetrics: MapStringDoubleParam

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  243. final val validationMetricsObject: NullableMetricsParam

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  244. final def wait(): Unit

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

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

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

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  248. final val withContributions: BooleanParam

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    H2OAlgorithmMOJOParams
  249. final val withLeafNodeAssignments: BooleanParam

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    H2OAlgorithmMOJOParams
  250. final val withStageResults: BooleanParam

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    H2OAlgorithmMOJOParams
  251. 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