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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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 coefficients: NullableDataFrameParam

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    Attributes
    protected
    Definition Classes
    H2OMOJOModel
  14. final val convertInvalidNumbersToNa: BooleanParam

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

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

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

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

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

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

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

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    Attributes
    protected
    Definition Classes
    H2OMOJOModel
  22. var crossValidationModelsScoringHistory: NullableDataFrameArrayParam

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

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

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

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

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    Attributes
    protected
    Definition Classes
    H2OAlgorithmMOJOParams
  27. val distribution: NullableStringParam

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

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

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

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

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

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

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    Definition Classes
    Params
  34. def explainParams(): String

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    Definition Classes
    Params
  35. def extractAnomalyPredictionColContent(): Column

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    Definition Classes
    H2OMOJOPredictionAnomaly
  36. def extractBinomialPredictionColContent(): Column

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    Definition Classes
    H2OMOJOPredictionBinomial
  37. def extractClusteringPredictionColContent(): Column

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    Definition Classes
    H2OMOJOPredictionClustering
  38. def extractCoefficients(outputJson: JsonObject): DataFrame

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

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

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

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  42. def extractFeatureImportances(outputJson: JsonObject): DataFrame

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

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

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

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

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

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

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

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

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    Definition Classes
    H2OMOJOPredictionMultinomial
  51. def extractOrdinalPredictionColContent(): Column

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

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

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

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

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    Definition Classes
    H2OMOJOPrediction
  56. def extractRegressionPredictionColContent(): Column

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

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

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  59. final val featureImportances: NullableDataFrameParam

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

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

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

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

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

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    Definition Classes
    Params
  65. def getAlgorithm(): String

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  66. def getAnomalyPredictionColSchema(): Seq[StructField]

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    Definition Classes
    H2OMOJOPredictionAnomaly
  67. def getAnomalyPredictionSchema(): StructType

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

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    Definition Classes
    H2OMOJOPredictionAnomaly
  69. def getAucType(): String

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  70. def getBinomialPredictionColSchema(): Seq[StructField]

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    Definition Classes
    H2OMOJOPredictionBinomial
  71. def getBinomialPredictionSchema(): StructType

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

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

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

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    Definition Classes
    H2OMOJOPredictionClustering
  75. def getClusteringPredictionSchema(): StructType

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

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    Definition Classes
    H2OMOJOPredictionClustering
  77. def getCoefficients(): DataFrame

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    Definition Classes
    H2OMOJOModel
  78. def getContributionsSchema(model: EasyPredictModelWrapper): DataType

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

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    Definition Classes
    H2OBaseMOJOParams
  80. def getConvertUnknownCategoricalLevelsToNa(): Boolean

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

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    Definition Classes
    H2OMOJOPredictionCoxPH
  82. def getCoxPHPredictionSchema(): StructType

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

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    Definition Classes
    H2OMOJOPredictionCoxPH
  84. 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
  85. 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
  86. 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
  87. def getCrossValidationModels(): Seq[H2ORuleFitMOJOModel.this.type]

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

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    Definition Classes
    H2OMOJOModel
  89. 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
  90. 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
  91. def getDataFrameSerializer(): String

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

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    Definition Classes
    Params
  93. def getDefaultThreshold(): Double

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    Definition Classes
    H2OMOJOModel
  94. def getDetailedPredictionCol(): String

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

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

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  97. def getDimReductionPredictionSchema(): StructType

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

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  99. def getDistribution(): String

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

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    Definition Classes
    H2OMOJOModel
  101. def getEndTime(): Long

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    Definition Classes
    H2OMOJOModel
  102. def getFeatureImportances(): DataFrame

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

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

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

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

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  107. def getLabelCol(): String

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  108. def getLambdaValue(): Array[Double]

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  109. def getMaxCategoricalLevels(): Int

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  110. def getMaxNumRules(): Int

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  111. def getMaxRuleLength(): Int

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  112. def getMinRuleLength(): Int

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  113. def getModelCategory(): String

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    Definition Classes
    H2OMOJOModel
  114. def getModelDetails(): String

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

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

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

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    Definition Classes
    H2OMOJOModel
  118. def getModelType(): String

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  119. def getMultinomialPredictionColSchema(): Seq[StructField]

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    Definition Classes
    H2OMOJOPredictionMultinomial
  120. def getMultinomialPredictionSchema(): StructType

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

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    Definition Classes
    H2OMOJOPredictionMultinomial
  122. def getOffsetCol(): String

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

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

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    Definition Classes
    H2OMOJOPredictionOrdinal
  125. def getOrdinalPredictionSchema(): StructType

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

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

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    Definition Classes
    Params
  128. def getPredictionCol(): String

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

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    Definition Classes
    H2OMOJOPrediction
  130. def getPredictionSchema(): StructType

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    Definition Classes
    H2OMOJOPrediction
  131. def getPredictionUDF(): UserDefinedFunction

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

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    Definition Classes
    H2OMOJOPredictionRegression
  133. def getRegressionPredictionSchema(): StructType

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

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

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

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  137. def getRuleGenerationNtrees(): Int

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  138. def getRuleImportance(): DataFrame

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  139. def getRunTime(): Long

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    Definition Classes
    H2OMOJOModel
  140. def getScoringHistory(): DataFrame

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    Definition Classes
    H2OMOJOModel
  141. def getSeed(): Long

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  142. def getStageProbabilitiesSchema(model: EasyPredictModelWrapper): DataType

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

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    Definition Classes
    H2OMOJOModel
  144. 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
  145. 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
  146. def getTrainingParams(): Map[String, String]

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    Definition Classes
    H2OMOJOModel
  147. 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
  148. 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
  149. def getWeightCol(): String

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  150. def getWithContributions(): Boolean

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    Definition Classes
    H2OAlgorithmMOJOParams
  151. def getWithLeafNodeAssignments(): Boolean

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    Definition Classes
    H2OAlgorithmMOJOParams
  152. def getWithStageResults(): Boolean

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

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  154. def getWordEmbeddingPredictionSchema(): StructType

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

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

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

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    Definition Classes
    Params
  158. def hasParent: Boolean

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    Definition Classes
    Model
  159. def hashCode(): Int

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

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

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

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

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

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    Attributes
    protected
    Definition Classes
    ParameterConstructorMethods
  165. val intercept: NullableDoubleArrayParam

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

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

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

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    Definition Classes
    Params
  169. def isTraceEnabled(): Boolean

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

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

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

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    Attributes
    protected
  173. val lambdaValue: NullableDoubleArrayParam

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    Attributes
    protected
  174. def log: Logger

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

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

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

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

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

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

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    Logging
  181. def logName: String

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

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

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

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

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

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  187. val maxCategoricalLevels: IntParam

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    Attributes
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  188. val maxNumRules: IntParam

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  189. val maxRuleLength: IntParam

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  190. val minRuleLength: IntParam

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  191. final val modelCategory: NullableStringParam

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    H2OMOJOModel
  192. final val modelDetails: NullableStringParam

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    Attributes
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    H2OMOJOModel
  193. final val modelSummary: NullableDataFrameParam

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    H2OMOJOModel
  194. val modelType: NullableStringParam

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    Attributes
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  195. final def ne(arg0: AnyRef): Boolean

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    Definition Classes
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  196. def nestedJsonFieldToDataFrame(outputJson: JsonObject, parentFieldName: String, fieldName: String): DataFrame

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    Attributes
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    H2OMOJOModelUtils
  197. val nonSerializableField: AnyRef

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

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    Definition Classes
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  199. final def notifyAll(): Unit

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  200. def nullableBooleanArrayParam(name: String, doc: String): NullableBooleanArrayParam

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

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

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

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

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

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

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

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

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

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  210. def outputColumnName: String

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

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

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

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

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    Attributes
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    H2OAlgorithmMOJOParams
  215. val removeDuplicates: BooleanParam

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    Attributes
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  216. val ruleGenerationNtrees: IntParam

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  217. val ruleImportance: NullableDataFrameParam

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  218. final val runTime: LongParam

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

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

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    H2OMOJOModel
  221. val seed: LongParam

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

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

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

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

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

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

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

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

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

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

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    Definition Classes
    Model
  232. final val startTime: LongParam

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

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

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

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  236. def toString(): String

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

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    H2OMOJOModel
  238. final val trainingMetricsObject: NullableMetricsParam

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    H2OMOJOModel
  239. final val trainingParams: MapStringStringParam

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

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

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    Definition Classes
    Transformer
    Annotations
    @Since( "2.0.0" )
  242. 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()
  243. def transformSchema(schema: StructType): StructType

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

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    @DeveloperApi()
  245. val uid: String

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    Definition Classes
    H2ORuleFitMOJOModelH2OSupervisedMOJOModelH2OAlgorithmMOJOModel → Identifiable
  246. 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
  247. final val validationMetrics: MapStringDoubleParam

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    H2OMOJOModel
  248. final val validationMetricsObject: NullableMetricsParam

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    H2OMOJOModel
  249. final def wait(): Unit

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

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

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

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  253. final val withContributions: BooleanParam

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    H2OAlgorithmMOJOParams
  254. final val withLeafNodeAssignments: BooleanParam

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    H2OAlgorithmMOJOParams
  255. final val withStageResults: BooleanParam

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    H2OAlgorithmMOJOParams
  256. 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