Class/Object

ai.h2o.sparkling.ml.models

H2OStackedEnsembleMOJOModel

Related Docs: object H2OStackedEnsembleMOJOModel | package models

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class H2OStackedEnsembleMOJOModel extends H2OSupervisedMOJOModel with ParameterConstructorMethods with Logging

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Inherited
  1. H2OStackedEnsembleMOJOModel
  2. ParameterConstructorMethods
  3. H2OSupervisedMOJOModel
  4. H2OSupervisedMOJOParams
  5. H2OAlgorithmMOJOModel
  6. H2OAlgorithmMOJOParams
  7. H2OMOJOPrediction
  8. H2OMOJOPredictionOrdinal
  9. H2OMOJOPredictionCoxPH
  10. H2OMOJOPredictionBinomial
  11. H2OMOJOPredictionClustering
  12. H2OMOJOPredictionDimReduction
  13. H2OMOJOPredictionMultinomial
  14. PredictionWithStageProbabilities
  15. H2OMOJOPredictionAnomaly
  16. H2OMOJOPredictionWordEmbedding
  17. H2OMOJOPredictionRegression
  18. PredictionWithContributions
  19. H2OMOJOModel
  20. HasFeatureTypesOnMOJO
  21. H2OBaseMOJOParams
  22. HasDataFrameSerializer
  23. SpecificMOJOParameters
  24. H2OMOJOModelUtils
  25. Logging
  26. H2OMOJOWritable
  27. MLWritable
  28. HasMojo
  29. H2OMOJOFlattenedInput
  30. Model
  31. Transformer
  32. PipelineStage
  33. Logging
  34. Params
  35. Serializable
  36. Serializable
  37. Identifiable
  38. AnyRef
  39. Any
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Visibility
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Instance Constructors

  1. new H2OStackedEnsembleMOJOModel(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. def booleanParam(name: String, doc: String): BooleanParam

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    Attributes
    protected
    Definition Classes
    ParameterConstructorMethods
  10. val categoricalEncoding: NullableStringParam

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    Attributes
    protected
  11. val checkpoint: NullableStringParam

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    Attributes
    protected
  12. final def clear(param: Param[_]): H2OStackedEnsembleMOJOModel.this.type

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    Definition Classes
    Params
  13. def clone(): AnyRef

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

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

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

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

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

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

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

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

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

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    Attributes
    protected
    Definition Classes
    H2OMOJOModel
  23. var crossValidationModelsScoringHistory: NullableDataFrameArrayParam

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    Attributes
    protected
    Definition Classes
    H2OMOJOModel
  24. val customDistributionFunc: NullableStringParam

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    Attributes
    protected
  25. val customMetricFunc: NullableStringParam

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

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

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

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

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    Attributes
    protected
    Definition Classes
    H2OAlgorithmMOJOParams
  30. val distribution: NullableStringParam

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

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

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

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

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

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

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    Definition Classes
    Params
  37. def explainParams(): String

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    Definition Classes
    Params
  38. val exportCheckpointsDir: NullableStringParam

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    Attributes
    protected
  39. def extractAnomalyPredictionColContent(): Column

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    Definition Classes
    H2OMOJOPredictionAnomaly
  40. def extractBinomialPredictionColContent(): Column

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    Definition Classes
    H2OMOJOPredictionBinomial
  41. def extractClusteringPredictionColContent(): Column

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

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

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

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

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  46. def extractFeatureImportances(outputJson: JsonObject): DataFrame

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

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

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

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

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

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

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

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

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    Definition Classes
    H2OMOJOPredictionMultinomial
  55. def extractOrdinalPredictionColContent(): Column

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

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

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

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

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    Definition Classes
    H2OMOJOPrediction
  60. def extractRegressionPredictionColContent(): Column

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

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

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  63. final val featureImportances: NullableDataFrameParam

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

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

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

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

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    Attributes
    protected
    Definition Classes
    ParameterConstructorMethods
  68. val foldAssignment: NullableStringParam

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    Attributes
    protected
  69. val foldCol: NullableStringParam

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    Attributes
    protected
  70. val gainsliftBins: IntParam

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

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

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    Definition Classes
    H2OMOJOPredictionAnomaly
  73. def getAnomalyPredictionSchema(): StructType

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

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    Definition Classes
    H2OMOJOPredictionAnomaly
  75. def getAucType(): String

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  76. def getBinomialPredictionColSchema(): Seq[StructField]

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    Definition Classes
    H2OMOJOPredictionBinomial
  77. def getBinomialPredictionSchema(): StructType

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

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    Definition Classes
    H2OMOJOPredictionBinomial
  79. def getCategoricalEncoding(): String

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  80. def getCheckpoint(): String

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

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

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    Definition Classes
    H2OMOJOPredictionClustering
  83. def getClusteringPredictionSchema(): StructType

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

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    Definition Classes
    H2OMOJOPredictionClustering
  85. def getCoefficients(): DataFrame

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

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

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    Definition Classes
    H2OBaseMOJOParams
  88. def getConvertUnknownCategoricalLevelsToNa(): Boolean

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

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    Definition Classes
    H2OMOJOPredictionCoxPH
  90. def getCoxPHPredictionSchema(): StructType

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

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    Definition Classes
    H2OMOJOPredictionCoxPH
  92. 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
  93. 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
  94. 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
  95. def getCrossValidationModels(): Seq[H2OStackedEnsembleMOJOModel.this.type]

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

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    Definition Classes
    H2OMOJOModel
  97. 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
  98. 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
  99. def getCustomDistributionFunc(): String

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  100. def getCustomMetricFunc(): String

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  101. def getDataFrameSerializer(): String

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

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    Definition Classes
    Params
  103. def getDefaultThreshold(): Double

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    Definition Classes
    H2OMOJOModel
  104. def getDetailedPredictionCol(): String

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

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

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  107. def getDimReductionPredictionSchema(): StructType

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

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  109. def getDistribution(): String

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

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    Definition Classes
    H2OMOJOModel
  111. def getEndTime(): Long

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    Definition Classes
    H2OMOJOModel
  112. def getExportCheckpointsDir(): String

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  113. def getFeatureImportances(): DataFrame

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

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

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    Definition Classes
    H2OAlgorithmMOJOParams
  116. def getFoldAssignment(): String

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  117. def getFoldCol(): String

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  118. def getGainsliftBins(): Int

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  119. def getHuberAlpha(): Double

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  120. def getIgnoreConstCols(): Boolean

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  121. def getIgnoredCols(): Array[String]

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  122. def getKeepCrossValidationFoldAssignment(): Boolean

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  123. def getKeepCrossValidationModels(): Boolean

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  124. def getKeepCrossValidationPredictions(): Boolean

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  125. def getKeepLeveloneFrame(): Boolean

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  126. def getLabelCol(): String

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  127. def getMaxCategoricalLevels(): Int

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  128. def getMaxRuntimeSecs(): Double

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  129. def getMetalearnerAlgorithm(): String

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  130. def getMetalearnerFoldAssignment(): String

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  131. def getMetalearnerFoldCol(): String

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  132. def getMetalearnerNfolds(): Int

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  133. def getMetalearnerParams(): String

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  134. def getMetalearnerTransform(): String

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  135. def getModelCategory(): String

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    Definition Classes
    H2OMOJOModel
  136. def getModelDetails(): String

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

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

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

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    Definition Classes
    H2OMOJOModel
  140. def getMultinomialPredictionColSchema(): Seq[StructField]

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    Definition Classes
    H2OMOJOPredictionMultinomial
  141. def getMultinomialPredictionSchema(): StructType

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

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    Definition Classes
    H2OMOJOPredictionMultinomial
  143. def getNfolds(): Int

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  144. def getOffsetCol(): String

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

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

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    Definition Classes
    H2OMOJOPredictionOrdinal
  147. def getOrdinalPredictionSchema(): StructType

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

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

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    Definition Classes
    Params
  150. def getPredictionCol(): String

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

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    Definition Classes
    H2OMOJOPrediction
  152. def getPredictionSchema(): StructType

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    Definition Classes
    H2OMOJOPrediction
  153. def getPredictionUDF(): UserDefinedFunction

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    Definition Classes
    H2OMOJOPrediction
  154. def getQuantileAlpha(): Double

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  155. def getRegressionPredictionColSchema(): Seq[StructField]

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    Definition Classes
    H2OMOJOPredictionRegression
  156. def getRegressionPredictionSchema(): StructType

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

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

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

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    Definition Classes
    H2OMOJOModel
  160. def getScoreEachIteration(): Boolean

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  161. def getScoreTrainingSamples(): Long

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  162. def getScoringHistory(): DataFrame

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    Definition Classes
    H2OMOJOModel
  163. def getSeed(): Long

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  164. def getStageProbabilitiesSchema(model: EasyPredictModelWrapper): DataType

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

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    Definition Classes
    H2OMOJOModel
  166. def getStoppingMetric(): String

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  167. def getStoppingRounds(): Int

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  168. def getStoppingTolerance(): Double

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  169. 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
  170. 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
  171. def getTrainingParams(): Map[String, String]

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    Definition Classes
    H2OMOJOModel
  172. def getTweediePower(): Double

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  173. 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
  174. 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
  175. def getWeightCol(): String

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  176. def getWithContributions(): Boolean

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    Definition Classes
    H2OAlgorithmMOJOParams
  177. def getWithLeafNodeAssignments(): Boolean

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    Definition Classes
    H2OAlgorithmMOJOParams
  178. def getWithStageResults(): Boolean

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

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  180. def getWordEmbeddingPredictionSchema(): StructType

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

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

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

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    Definition Classes
    Params
  184. def hasParent: Boolean

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    Definition Classes
    Model
  185. def hashCode(): Int

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    Definition Classes
    AnyRef → Any
  186. val huberAlpha: DoubleParam

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    Attributes
    protected
  187. val ignoreConstCols: BooleanParam

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    Attributes
    protected
  188. val ignoredCols: NullableStringArrayParam

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

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    Attributes
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  190. def initializeLogIfNecessary(isInterpreter: Boolean): Unit

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  191. def inputColumnNames: Array[String]

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  192. def intArrayParam(name: String, doc: String): IntArrayParam

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  193. def intParam(name: String, doc: String): IntParam

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

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  195. final def isInstanceOf[T0]: Boolean

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

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  197. def isTraceEnabled(): Boolean

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  198. def jsonFieldToDataFrame(outputJson: JsonObject, fieldName: String): DataFrame

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  199. def jsonFieldToDoubleArray(outputJson: JsonObject, fieldName: String): Array[Double]

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  200. val keepCrossValidationFoldAssignment: BooleanParam

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  201. val keepCrossValidationModels: BooleanParam

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  202. val keepCrossValidationPredictions: BooleanParam

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  203. val keepLeveloneFrame: BooleanParam

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  204. val labelCol: NullableStringParam

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  205. def log: Logger

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

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

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

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  209. def logError(msg: ⇒ String): Unit

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

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  211. def logInfo(msg: ⇒ String): Unit

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  212. def logName: String

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

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  214. def logTrace(msg: ⇒ String): Unit

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

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  216. def logWarning(msg: ⇒ String): Unit

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  217. def longParam(name: String, doc: String): LongParam

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  218. val maxCategoricalLevels: IntParam

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  219. val maxRuntimeSecs: DoubleParam

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  220. val metalearnerAlgorithm: NullableStringParam

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  221. val metalearnerFoldAssignment: NullableStringParam

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  222. val metalearnerFoldCol: NullableStringParam

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  223. val metalearnerNfolds: IntParam

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  224. val metalearnerParams: Param[String]

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  225. val metalearnerTransform: NullableStringParam

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  226. final val modelCategory: NullableStringParam

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    H2OMOJOModel
  227. final val modelDetails: NullableStringParam

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  228. final val modelSummary: NullableDataFrameParam

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  229. final def ne(arg0: AnyRef): Boolean

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  230. def nestedJsonFieldToDataFrame(outputJson: JsonObject, parentFieldName: String, fieldName: String): DataFrame

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  231. val nfolds: IntParam

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  232. val nonSerializableField: AnyRef

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    H2OMOJOModel
  233. final def notify(): Unit

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  234. final def notifyAll(): Unit

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

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

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

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

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  239. def nullableFloatArrayParam(name: String, doc: String): NullableFloatArrayParam

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

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

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

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  243. def nullableStringPairArrayParam(name: String, doc: String): NullableStringPairArrayParam

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

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  245. def outputColumnName: String

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

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

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  248. var parent: Estimator[H2OMOJOModel]

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

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    H2OAlgorithmMOJOParams
  250. val quantileAlpha: DoubleParam

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  251. final val runTime: LongParam

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    H2OMOJOModel
  252. def save(path: String): Unit

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    MLWritable
    Annotations
    @Since( "1.6.0" ) @throws( ... )
  253. val scoreEachIteration: BooleanParam

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  254. val scoreTrainingSamples: LongParam

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  255. final val scoringHistory: NullableDataFrameParam

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    H2OMOJOModel
  256. val seed: LongParam

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  257. final def set(paramPair: ParamPair[_]): H2OStackedEnsembleMOJOModel.this.type

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  258. final def set(param: String, value: Any): H2OStackedEnsembleMOJOModel.this.type

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  259. final def set[T](param: Param[T], value: T): H2OStackedEnsembleMOJOModel.this.type

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  260. def setDataFrameSerializer(fullClassName: String): H2OStackedEnsembleMOJOModel.this.type

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    Definition Classes
    H2OBaseMOJOParams
  261. final def setDefault(paramPairs: ParamPair[_]*): H2OStackedEnsembleMOJOModel.this.type

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  262. final def setDefault[T](param: Param[T], value: T): H2OStackedEnsembleMOJOModel.this.type

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  263. def setMojo(mojo: File): H2OStackedEnsembleMOJOModel.this.type

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    Definition Classes
    HasMojo
  264. def setMojo(mojo: InputStream, mojoName: String): H2OStackedEnsembleMOJOModel.this.type

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    Definition Classes
    HasMojo
  265. def setMojo(mojo: InputStream): H2OStackedEnsembleMOJOModel.this.type

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

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    Definition Classes
    Model
  267. final val startTime: LongParam

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  268. val stoppingMetric: NullableStringParam

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  269. val stoppingRounds: IntParam

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  270. val stoppingTolerance: DoubleParam

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  271. def stringArrayParam(name: String, doc: String): StringArrayParam

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

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

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  274. def toString(): String

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  275. final val trainingMetrics: MapStringDoubleParam

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  276. final val trainingMetricsObject: NullableMetricsParam

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  277. final val trainingParams: MapStringStringParam

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

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

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

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    Definition Classes
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    @Since( "2.0.0" ) @varargs()
  281. def transformSchema(schema: StructType): StructType

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    Annotations
    @DeveloperApi()
  282. def transformSchema(schema: StructType, logging: Boolean): StructType

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  283. val tweediePower: DoubleParam

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  284. val uid: String

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  285. 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
  286. final val validationMetrics: MapStringDoubleParam

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  287. final val validationMetricsObject: NullableMetricsParam

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  288. final def wait(): Unit

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

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

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  291. val weightCol: NullableStringParam

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  292. final val withContributions: BooleanParam

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    H2OAlgorithmMOJOParams
  293. final val withLeafNodeAssignments: BooleanParam

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  294. final val withStageResults: BooleanParam

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  295. def write: MLWriter

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    Definition Classes
    H2OMOJOWritable → MLWritable

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