Class/Object

ai.h2o.sparkling.ml.models

H2OGBMMOJOModel

Related Docs: object H2OGBMMOJOModel | package models

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class H2OGBMMOJOModel extends H2OTreeBasedSupervisedMOJOModel with ParameterConstructorMethods with Logging with HasMonotoneConstraintsOnMOJO with HasIgnoredColsOnMOJO

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Inherited
  1. H2OGBMMOJOModel
  2. HasIgnoredColsOnMOJO
  3. HasMonotoneConstraintsOnMOJO
  4. ParameterConstructorMethods
  5. H2OTreeBasedSupervisedMOJOModel
  6. H2OTreeBasedMOJOParams
  7. H2OSupervisedMOJOModel
  8. H2OSupervisedMOJOParams
  9. H2OAlgorithmMOJOModel
  10. H2OAlgorithmMOJOParams
  11. H2OMOJOPrediction
  12. H2OMOJOPredictionOrdinal
  13. H2OMOJOPredictionCoxPH
  14. H2OMOJOPredictionBinomial
  15. H2OMOJOPredictionClustering
  16. H2OMOJOPredictionDimReduction
  17. H2OMOJOPredictionMultinomial
  18. PredictionWithStageProbabilities
  19. H2OMOJOPredictionAnomaly
  20. H2OMOJOPredictionWordEmbedding
  21. H2OMOJOPredictionRegression
  22. PredictionWithContributions
  23. H2OMOJOModel
  24. HasFeatureTypesOnMOJO
  25. H2OBaseMOJOParams
  26. HasDataFrameSerializer
  27. SpecificMOJOParameters
  28. H2OMOJOModelUtils
  29. Logging
  30. H2OMOJOWritable
  31. MLWritable
  32. HasMojo
  33. H2OMOJOFlattenedInput
  34. Model
  35. Transformer
  36. PipelineStage
  37. Logging
  38. Params
  39. Serializable
  40. Serializable
  41. Identifiable
  42. AnyRef
  43. Any
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Visibility
  1. Public
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Instance Constructors

  1. new H2OGBMMOJOModel(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. def applyPredictionUdf(dataset: Dataset[_], udfConstructor: (Array[String]) ⇒ UserDefinedFunction): DataFrame

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

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

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    Definition Classes
    Any
  8. val aucType: NullableStringParam

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    Attributes
    protected
  9. val autoRebalance: BooleanParam

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    Attributes
    protected
  10. val balanceClasses: BooleanParam

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

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    Attributes
    protected
    Definition Classes
    ParameterConstructorMethods
  12. val buildTreeOneNode: BooleanParam

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    Attributes
    protected
  13. val calibrateModel: BooleanParam

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    Attributes
    protected
  14. val calibrationMethod: NullableStringParam

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    Attributes
    protected
  15. val categoricalEncoding: NullableStringParam

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    Attributes
    protected
  16. val checkConstantResponse: BooleanParam

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    Attributes
    protected
  17. val classSamplingFactors: NullableFloatArrayParam

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    Attributes
    protected
  18. final def clear(param: Param[_]): H2OGBMMOJOModel.this.type

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    Definition Classes
    Params
  19. def clone(): AnyRef

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    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  20. final val coefficients: NullableDataFrameParam

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    Attributes
    protected
    Definition Classes
    H2OMOJOModel
  21. val colSampleRate: DoubleParam

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    Attributes
    protected
  22. val colSampleRateChangePerLevel: DoubleParam

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    Attributes
    protected
  23. val colSampleRatePerTree: DoubleParam

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    Attributes
    protected
  24. final val convertInvalidNumbersToNa: BooleanParam

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

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

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

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

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

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

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

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    Attributes
    protected
    Definition Classes
    H2OMOJOModel
  32. var crossValidationModelsScoringHistory: NullableDataFrameArrayParam

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    Attributes
    protected
    Definition Classes
    H2OMOJOModel
  33. val customDistributionFunc: NullableStringParam

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    Attributes
    protected
  34. val customMetricFunc: NullableStringParam

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    Attributes
    protected
  35. final val dataFrameSerializer: Param[String]

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

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

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

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    Attributes
    protected
    Definition Classes
    H2OAlgorithmMOJOParams
  39. val distribution: NullableStringParam

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

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

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

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

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

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

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    Definition Classes
    Params
  46. def explainParams(): String

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    Definition Classes
    Params
  47. val exportCheckpointsDir: NullableStringParam

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    Attributes
    protected
  48. def extractAnomalyPredictionColContent(): Column

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    Definition Classes
    H2OMOJOPredictionAnomaly
  49. def extractBinomialPredictionColContent(): Column

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    Definition Classes
    H2OMOJOPredictionBinomial
  50. def extractClusteringPredictionColContent(): Column

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

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

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

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

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  55. def extractFeatureImportances(outputJson: JsonObject): DataFrame

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

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

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

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

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

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

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

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

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    Definition Classes
    H2OMOJOPredictionMultinomial
  64. def extractOrdinalPredictionColContent(): Column

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

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

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

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

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    Definition Classes
    H2OMOJOPrediction
  69. def extractRegressionPredictionColContent(): Column

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

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

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  72. final val featureImportances: NullableDataFrameParam

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

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

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

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

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    Attributes
    protected
    Definition Classes
    ParameterConstructorMethods
  77. val foldAssignment: NullableStringParam

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    Attributes
    protected
  78. val foldCol: NullableStringParam

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    Attributes
    protected
  79. val gainsliftBins: IntParam

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

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

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    Definition Classes
    H2OMOJOPredictionAnomaly
  82. def getAnomalyPredictionSchema(): StructType

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

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    Definition Classes
    H2OMOJOPredictionAnomaly
  84. def getAucType(): String

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  85. def getAutoRebalance(): Boolean

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  86. def getBalanceClasses(): Boolean

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  87. def getBinomialPredictionColSchema(): Seq[StructField]

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    Definition Classes
    H2OMOJOPredictionBinomial
  88. def getBinomialPredictionSchema(): StructType

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

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    Definition Classes
    H2OMOJOPredictionBinomial
  90. def getBuildTreeOneNode(): Boolean

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  91. def getCalibrateModel(): Boolean

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  92. def getCalibrationMethod(): String

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  93. def getCategoricalEncoding(): String

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  94. def getCheckConstantResponse(): Boolean

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

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

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  97. def getClusteringPredictionColSchema(): Seq[StructField]

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    Definition Classes
    H2OMOJOPredictionClustering
  98. def getClusteringPredictionSchema(): StructType

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

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    Definition Classes
    H2OMOJOPredictionClustering
  100. def getCoefficients(): DataFrame

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    Definition Classes
    H2OMOJOModel
  101. def getColSampleRate(): Double

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  102. def getColSampleRateChangePerLevel(): Double

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  103. def getColSampleRatePerTree(): Double

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  104. def getContributionsSchema(model: EasyPredictModelWrapper): DataType

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

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    Definition Classes
    H2OBaseMOJOParams
  106. def getConvertUnknownCategoricalLevelsToNa(): Boolean

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

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    Definition Classes
    H2OMOJOPredictionCoxPH
  108. def getCoxPHPredictionSchema(): StructType

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

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    Definition Classes
    H2OMOJOPredictionCoxPH
  110. 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
  111. 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
  112. 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
  113. def getCrossValidationModels(): Seq[H2OGBMMOJOModel.this.type]

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

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    Definition Classes
    H2OMOJOModel
  115. 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
  116. 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
  117. def getCustomDistributionFunc(): String

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  118. def getCustomMetricFunc(): String

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  119. def getDataFrameSerializer(): String

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

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    Definition Classes
    Params
  121. def getDefaultThreshold(): Double

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    Definition Classes
    H2OMOJOModel
  122. def getDetailedPredictionCol(): String

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

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

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  125. def getDimReductionPredictionSchema(): StructType

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

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  127. def getDistribution(): String

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

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    Definition Classes
    H2OMOJOModel
  129. def getEndTime(): Long

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    Definition Classes
    H2OMOJOModel
  130. def getExportCheckpointsDir(): String

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  131. def getFeatureImportances(): DataFrame

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

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

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    Definition Classes
    H2OAlgorithmMOJOParams
  134. def getFoldAssignment(): String

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  135. def getFoldCol(): String

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  136. def getGainsliftBins(): Int

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  137. def getHistogramType(): String

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  138. def getHuberAlpha(): Double

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  139. def getIgnoreConstCols(): Boolean

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  140. def getIgnoredCols(): Array[String]

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    Definition Classes
    HasIgnoredColsOnMOJO
  141. def getInTrainingCheckpointsDir(): String

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  142. def getInTrainingCheckpointsTreeInterval(): Int

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  143. def getInteractionConstraints(): Array[Array[String]]

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  144. def getKeepCrossValidationFoldAssignment(): Boolean

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  145. def getKeepCrossValidationModels(): Boolean

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  146. def getKeepCrossValidationPredictions(): Boolean

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  147. def getLabelCol(): String

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  148. def getLearnRate(): Double

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  149. def getLearnRateAnnealing(): Double

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  150. def getMaxAbsLeafnodePred(): Double

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  151. def getMaxAfterBalanceSize(): Float

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  152. def getMaxConfusionMatrixSize(): Int

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  153. def getMaxDepth(): Int

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  154. def getMaxRuntimeSecs(): Double

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  155. def getMinRows(): Double

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  156. def getMinSplitImprovement(): Double

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  157. def getModelCategory(): String

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    Definition Classes
    H2OMOJOModel
  158. def getModelDetails(): String

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

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

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

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    Definition Classes
    H2OMOJOModel
  162. def getMonotoneConstraints(): Map[String, Double]

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    Definition Classes
    HasMonotoneConstraintsOnMOJO
  163. def getMultinomialPredictionColSchema(): Seq[StructField]

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    Definition Classes
    H2OMOJOPredictionMultinomial
  164. def getMultinomialPredictionSchema(): StructType

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

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    Definition Classes
    H2OMOJOPredictionMultinomial
  166. def getNbins(): Int

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  167. def getNbinsCats(): Int

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  168. def getNbinsTopLevel(): Int

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  169. def getNfolds(): Int

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  170. def getNtrees(): Int

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    Definition Classes
    H2OTreeBasedMOJOParams
  171. def getOffsetCol(): String

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

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

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    Definition Classes
    H2OMOJOPredictionOrdinal
  174. def getOrdinalPredictionSchema(): StructType

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

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

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    Definition Classes
    Params
  177. def getPredNoiseBandwidth(): Double

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  178. def getPredictionCol(): String

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

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    Definition Classes
    H2OMOJOPrediction
  180. def getPredictionSchema(): StructType

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    Definition Classes
    H2OMOJOPrediction
  181. def getPredictionUDF(): UserDefinedFunction

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    Definition Classes
    H2OMOJOPrediction
  182. def getQuantileAlpha(): Double

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  183. def getRegressionPredictionColSchema(): Seq[StructField]

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    Definition Classes
    H2OMOJOPredictionRegression
  184. def getRegressionPredictionSchema(): StructType

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

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

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    Attributes
    protected
    Definition Classes
    H2OMOJOFlattenedInput
  187. def getRunTime(): Long

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    Definition Classes
    H2OMOJOModel
  188. def getSampleRate(): Double

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  189. def getSampleRatePerClass(): Array[Double]

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  190. def getScoreEachIteration(): Boolean

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  191. def getScoreTreeInterval(): Int

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  192. def getScoringHistory(): DataFrame

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    Definition Classes
    H2OMOJOModel
  193. def getSeed(): Long

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  194. def getStageProbabilitiesSchema(model: EasyPredictModelWrapper): DataType

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

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    Definition Classes
    H2OMOJOModel
  196. def getStoppingMetric(): String

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  197. def getStoppingRounds(): Int

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  198. def getStoppingTolerance(): Double

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  199. 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
  200. 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
  201. def getTrainingParams(): Map[String, String]

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    Definition Classes
    H2OMOJOModel
  202. def getTweediePower(): Double

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  203. 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
  204. 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
  205. def getWeightCol(): String

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  206. def getWithContributions(): Boolean

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    Definition Classes
    H2OAlgorithmMOJOParams
  207. def getWithLeafNodeAssignments(): Boolean

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    Definition Classes
    H2OAlgorithmMOJOParams
  208. def getWithStageResults(): Boolean

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

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  210. def getWordEmbeddingPredictionSchema(): StructType

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

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

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

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    Definition Classes
    Params
  214. def hasParent: Boolean

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    Definition Classes
    Model
  215. def hashCode(): Int

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    Definition Classes
    AnyRef → Any
  216. val histogramType: NullableStringParam

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    Attributes
    protected
  217. val huberAlpha: DoubleParam

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    Attributes
    protected
  218. val ignoreConstCols: BooleanParam

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    Attributes
    protected
  219. val inTrainingCheckpointsDir: NullableStringParam

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    Attributes
    protected
  220. val inTrainingCheckpointsTreeInterval: IntParam

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    Attributes
    protected
  221. def initializeLogIfNecessary(isInterpreter: Boolean, silent: Boolean): Boolean

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

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

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

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

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    Attributes
    protected
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    ParameterConstructorMethods
  226. val interactionConstraints: NullableStringArrayArrayParam

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

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

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

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    Definition Classes
    Params
  230. def isTraceEnabled(): Boolean

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

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

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    Attributes
    protected
    Definition Classes
    H2OMOJOModelUtils
  233. val keepCrossValidationFoldAssignment: BooleanParam

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    Attributes
    protected
  234. val keepCrossValidationModels: BooleanParam

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    Attributes
    protected
  235. val keepCrossValidationPredictions: BooleanParam

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    Attributes
    protected
  236. val labelCol: Param[String]

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    Attributes
    protected
  237. val learnRate: DoubleParam

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    Attributes
    protected
  238. val learnRateAnnealing: DoubleParam

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    Attributes
    protected
  239. def log: Logger

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

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

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

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

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

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

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    Attributes
    protected
    Definition Classes
    Logging
  246. def logName: String

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

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

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

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

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

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    Attributes
    protected
    Definition Classes
    ParameterConstructorMethods
  252. val maxAbsLeafnodePred: DoubleParam

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    Attributes
    protected
  253. val maxAfterBalanceSize: FloatParam

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    Attributes
    protected
  254. val maxConfusionMatrixSize: IntParam

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    Attributes
    protected
  255. val maxDepth: IntParam

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    Attributes
    protected
  256. val maxRuntimeSecs: DoubleParam

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    Attributes
    protected
  257. val minRows: DoubleParam

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    Attributes
    protected
  258. val minSplitImprovement: DoubleParam

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    Attributes
    protected
  259. final val modelCategory: NullableStringParam

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

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    Attributes
    protected
    Definition Classes
    H2OMOJOModel
  261. final val modelSummary: NullableDataFrameParam

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    Attributes
    protected
    Definition Classes
    H2OMOJOModel
  262. val nbins: IntParam

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    Attributes
    protected
  263. val nbinsCats: IntParam

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    Attributes
    protected
  264. val nbinsTopLevel: IntParam

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    Attributes
    protected
  265. final def ne(arg0: AnyRef): Boolean

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

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    Attributes
    protected
    Definition Classes
    H2OMOJOModelUtils
  267. val nfolds: IntParam

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    Attributes
    protected
  268. val nonSerializableField: AnyRef

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

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

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    Definition Classes
    AnyRef
  271. final val ntrees: IntParam

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    Attributes
    protected
    Definition Classes
    H2OTreeBasedMOJOParams
  272. def nullableBooleanArrayParam(name: String, doc: String): NullableBooleanArrayParam

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    Attributes
    protected
    Definition Classes
    ParameterConstructorMethods
  273. def nullableDataFrameParam(name: String, doc: String): NullableDataFrameParam

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    Attributes
    protected
    Definition Classes
    H2OMOJOModel
  274. def nullableDoubleArrayArrayParam(name: String, doc: String): NullableDoubleArrayArrayParam

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    Attributes
    protected
    Definition Classes
    ParameterConstructorMethods
  275. def nullableDoubleArrayParam(name: String, doc: String): NullableDoubleArrayParam

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    Attributes
    protected
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    ParameterConstructorMethods
  276. def nullableFloatArrayParam(name: String, doc: String): NullableFloatArrayParam

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    Attributes
    protected
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    ParameterConstructorMethods
  277. def nullableIntArrayParam(name: String, doc: String): NullableIntArrayParam

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    Attributes
    protected
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    ParameterConstructorMethods
  278. def nullableStringArrayArrayParam(name: String, doc: String): NullableStringArrayArrayParam

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    Attributes
    protected
    Definition Classes
    ParameterConstructorMethods
  279. def nullableStringArrayParam(name: String, doc: String): NullableStringArrayParam

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

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    Attributes
    protected
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    ParameterConstructorMethods
  281. def nullableStringParam(name: String, doc: String): NullableStringParam

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    Attributes
    protected
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    ParameterConstructorMethods
  282. def outputColumnName: String

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    Attributes
    protected
    Definition Classes
    H2OAlgorithmMOJOModelH2OMOJOFlattenedInput
  283. def param[T](name: String, doc: String): Param[T]

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    Attributes
    protected
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    ParameterConstructorMethods
  284. lazy val params: Array[Param[_]]

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

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    Definition Classes
    Model
  286. val predNoiseBandwidth: DoubleParam

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    Attributes
    protected
  287. final val predictionCol: Param[String]

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    Attributes
    protected
    Definition Classes
    H2OAlgorithmMOJOParams
  288. val quantileAlpha: DoubleParam

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    Attributes
    protected
  289. final val runTime: LongParam

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    Attributes
    protected
    Definition Classes
    H2OMOJOModel
  290. val sampleRate: DoubleParam

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    Attributes
    protected
  291. val sampleRatePerClass: NullableDoubleArrayParam

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    Attributes
    protected
  292. def save(path: String): Unit

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

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    Attributes
    protected
  294. val scoreTreeInterval: IntParam

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    Attributes
    protected
  295. final val scoringHistory: NullableDataFrameParam

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    Attributes
    protected
    Definition Classes
    H2OMOJOModel
  296. val seed: LongParam

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    Attributes
    protected
  297. final def set(paramPair: ParamPair[_]): H2OGBMMOJOModel.this.type

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    Attributes
    protected
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    Params
  298. final def set(param: String, value: Any): H2OGBMMOJOModel.this.type

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    Attributes
    protected
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    Params
  299. final def set[T](param: Param[T], value: T): H2OGBMMOJOModel.this.type

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    Definition Classes
    Params
  300. def setDataFrameSerializer(fullClassName: String): H2OGBMMOJOModel.this.type

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    Definition Classes
    H2OBaseMOJOParams
  301. final def setDefault(paramPairs: ParamPair[_]*): H2OGBMMOJOModel.this.type

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    Attributes
    protected
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    Params
  302. final def setDefault[T](param: Param[T], value: T): H2OGBMMOJOModel.this.type

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    Attributes
    protected
    Definition Classes
    Params
  303. def setMojo(mojo: File): H2OGBMMOJOModel.this.type

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    Definition Classes
    HasMojo
  304. def setMojo(mojo: InputStream, mojoName: String): H2OGBMMOJOModel.this.type

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    Definition Classes
    HasMojo
  305. def setMojo(mojo: InputStream): H2OGBMMOJOModel.this.type

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

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    Definition Classes
    Model
  307. final val startTime: LongParam

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    Attributes
    protected
    Definition Classes
    H2OMOJOModel
  308. val stoppingMetric: NullableStringParam

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    Attributes
    protected
  309. val stoppingRounds: IntParam

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    Attributes
    protected
  310. val stoppingTolerance: DoubleParam

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    Attributes
    protected
  311. def stringArrayParam(name: String, doc: String): StringArrayParam

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    Attributes
    protected
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    ParameterConstructorMethods
  312. def stringParam(name: String, doc: String): Param[String]

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    Attributes
    protected
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    ParameterConstructorMethods
  313. final def synchronized[T0](arg0: ⇒ T0): T0

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    Definition Classes
    AnyRef
  314. def toString(): String

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    Definition Classes
    H2OMOJOModel → Identifiable → AnyRef → Any
  315. final val trainingMetrics: MapStringDoubleParam

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    Attributes
    protected
    Definition Classes
    H2OMOJOModel
  316. final val trainingMetricsObject: NullableMetricsParam

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    Attributes
    protected
    Definition Classes
    H2OMOJOModel
  317. final val trainingParams: MapStringStringParam

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    Attributes
    protected
    Definition Classes
    H2OMOJOModel
  318. def transform(dataset: Dataset[_]): DataFrame

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

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

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

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

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    Attributes
    protected
    Definition Classes
    PipelineStage
    Annotations
    @DeveloperApi()
  323. val tweediePower: DoubleParam

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    Attributes
    protected
  324. val uid: String

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  325. 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
  326. final val validationMetrics: MapStringDoubleParam

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    Attributes
    protected
    Definition Classes
    H2OMOJOModel
  327. final val validationMetricsObject: NullableMetricsParam

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    Attributes
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    Definition Classes
    H2OMOJOModel
  328. final def wait(): Unit

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  329. final def wait(arg0: Long, arg1: Int): Unit

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  330. final def wait(arg0: Long): Unit

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  331. val weightCol: NullableStringParam

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    Attributes
    protected
  332. final val withContributions: BooleanParam

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    Attributes
    protected
    Definition Classes
    H2OAlgorithmMOJOParams
  333. final val withLeafNodeAssignments: BooleanParam

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    Attributes
    protected
    Definition Classes
    H2OAlgorithmMOJOParams
  334. final val withStageResults: BooleanParam

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    Attributes
    protected
    Definition Classes
    H2OAlgorithmMOJOParams
  335. def write: MLWriter

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    Definition Classes
    H2OMOJOWritable → MLWritable

Inherited from HasIgnoredColsOnMOJO

Inherited from H2OTreeBasedMOJOParams

Inherited from H2OSupervisedMOJOModel

Inherited from H2OSupervisedMOJOParams

Inherited from H2OAlgorithmMOJOModel

Inherited from H2OAlgorithmMOJOParams

Inherited from H2OMOJOPrediction

Inherited from H2OMOJOPredictionOrdinal

Inherited from H2OMOJOPredictionCoxPH

Inherited from H2OMOJOPredictionBinomial

Inherited from H2OMOJOPredictionAnomaly

Inherited from H2OMOJOModel

Inherited from HasFeatureTypesOnMOJO

Inherited from H2OBaseMOJOParams

Inherited from 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