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
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Instance Constructors

  1. new H2OGBMMOJOModel(uid: String)

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Value Members

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

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

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

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

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    Definition Classes
    AnyRef → Any
  5. 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 balanceClasses: BooleanParam

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

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    Attributes
    protected
    Definition Classes
    ParameterConstructorMethods
  11. val buildTreeOneNode: BooleanParam

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    Attributes
    protected
  12. val calibrateModel: BooleanParam

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    Attributes
    protected
  13. val categoricalEncoding: NullableStringParam

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    Attributes
    protected
  14. val checkConstantResponse: BooleanParam

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    Attributes
    protected
  15. val classSamplingFactors: NullableFloatArrayParam

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

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    Definition Classes
    Params
  17. def clone(): AnyRef

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    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  18. val colSampleRate: DoubleParam

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    Attributes
    protected
  19. val colSampleRateChangePerLevel: DoubleParam

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    Attributes
    protected
  20. val colSampleRatePerTree: DoubleParam

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    Attributes
    protected
  21. final val convertInvalidNumbersToNa: BooleanParam

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

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

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

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

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

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

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

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    Attributes
    protected
    Definition Classes
    H2OMOJOModel
  29. val customDistributionFunc: NullableStringParam

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    Attributes
    protected
  30. val customMetricFunc: NullableStringParam

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

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

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

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

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    Attributes
    protected
    Definition Classes
    H2OAlgorithmMOJOParams
  35. val distribution: NullableStringParam

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

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

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

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

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

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

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    Definition Classes
    Params
  42. def explainParams(): String

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    Definition Classes
    Params
  43. val exportCheckpointsDir: NullableStringParam

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    Attributes
    protected
  44. def extractAnomalyPredictionColContent(): Column

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    Definition Classes
    H2OMOJOPredictionAnomaly
  45. def extractBinomialPredictionColContent(): Column

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    Definition Classes
    H2OMOJOPredictionBinomial
  46. def extractClusteringPredictionColContent(): Column

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    Definition Classes
    H2OMOJOPredictionClustering
  47. def extractCoxPHPredictionColContent(): Column

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

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

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  50. def extractFeatureImportances(outputJson: JsonObject): DataFrame

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

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

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

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

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

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

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    Definition Classes
    H2OMOJOPredictionMultinomial
  57. def extractOrdinalPredictionColContent(): Column

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

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

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

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

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    Definition Classes
    H2OMOJOPrediction
  62. def extractRegressionPredictionColContent(): Column

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

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

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  65. final val featureImportances: NullableDataFrameParam

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

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

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

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

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    Attributes
    protected
    Definition Classes
    ParameterConstructorMethods
  70. val foldAssignment: NullableStringParam

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    Attributes
    protected
  71. val foldCol: NullableStringParam

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    Attributes
    protected
  72. val gainsliftBins: IntParam

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

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

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    Definition Classes
    H2OMOJOPredictionAnomaly
  75. def getAnomalyPredictionSchema(): StructType

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    Definition Classes
    H2OMOJOPredictionAnomaly
  76. def getAnomalyPredictionUDF(): UserDefinedFunction

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    Definition Classes
    H2OMOJOPredictionAnomaly
  77. def getAucType(): String

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  78. def getBalanceClasses(): Boolean

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  79. def getBinomialPredictionColSchema(): Seq[StructField]

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    Definition Classes
    H2OMOJOPredictionBinomial
  80. def getBinomialPredictionSchema(): StructType

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    Definition Classes
    H2OMOJOPredictionBinomial
  81. def getBinomialPredictionUDF(): UserDefinedFunction

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    Definition Classes
    H2OMOJOPredictionBinomial
  82. def getBuildTreeOneNode(): Boolean

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  83. def getCalibrateModel(): Boolean

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  84. def getCategoricalEncoding(): String

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  85. def getCheckConstantResponse(): Boolean

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

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

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  88. def getClusteringPredictionColSchema(): Seq[StructField]

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    Definition Classes
    H2OMOJOPredictionClustering
  89. def getClusteringPredictionSchema(): StructType

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    Definition Classes
    H2OMOJOPredictionClustering
  90. def getClusteringPredictionUDF(): UserDefinedFunction

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    Definition Classes
    H2OMOJOPredictionClustering
  91. def getColSampleRate(): Double

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  92. def getColSampleRateChangePerLevel(): Double

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  93. def getColSampleRatePerTree(): Double

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  94. def getContributionsSchema(model: EasyPredictModelWrapper): DataType

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

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    Definition Classes
    H2OBaseMOJOParams
  96. def getConvertUnknownCategoricalLevelsToNa(): Boolean

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

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    Definition Classes
    H2OMOJOPredictionCoxPH
  98. def getCoxPHPredictionSchema(): StructType

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    Definition Classes
    H2OMOJOPredictionCoxPH
  99. def getCoxPHPredictionUDF(): UserDefinedFunction

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    Definition Classes
    H2OMOJOPredictionCoxPH
  100. 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
  101. 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
  102. 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
  103. def getCrossValidationModels(): Seq[H2OGBMMOJOModel.this.type]

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    Definition Classes
    H2OMOJOModel
  104. 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
  105. 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
  106. def getCustomDistributionFunc(): String

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  107. def getCustomMetricFunc(): String

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  108. def getDataFrameSerializer(): String

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

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    Definition Classes
    Params
  110. def getDefaultThreshold(): Double

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    Definition Classes
    H2OMOJOModel
  111. def getDetailedPredictionCol(): String

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

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

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  114. def getDimReductionPredictionSchema(): StructType

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  115. def getDimReductionPredictionUDF(): UserDefinedFunction

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  116. def getDistribution(): String

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

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    Definition Classes
    H2OMOJOModel
  118. def getEndTime(): Long

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    Definition Classes
    H2OMOJOModel
  119. def getExportCheckpointsDir(): String

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  120. def getFeatureImportances(): DataFrame

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

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

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    Definition Classes
    H2OAlgorithmMOJOParams
  123. def getFoldAssignment(): String

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  124. def getFoldCol(): String

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  125. def getGainsliftBins(): Int

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  126. def getHistogramType(): String

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  127. def getHuberAlpha(): Double

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  128. def getIgnoreConstCols(): Boolean

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  129. def getIgnoredCols(): Array[String]

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    Definition Classes
    HasIgnoredColsOnMOJO
  130. def getKeepCrossValidationFoldAssignment(): Boolean

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  131. def getKeepCrossValidationModels(): Boolean

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  132. def getKeepCrossValidationPredictions(): Boolean

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  133. def getLabelCol(): String

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  134. def getLearnRate(): Double

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  135. def getLearnRateAnnealing(): Double

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  136. def getMaxAbsLeafnodePred(): Double

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  137. def getMaxAfterBalanceSize(): Float

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  138. def getMaxConfusionMatrixSize(): Int

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  139. def getMaxDepth(): Int

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  140. def getMaxRuntimeSecs(): Double

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  141. def getMinRows(): Double

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  142. def getMinSplitImprovement(): Double

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  143. def getModelCategory(): String

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    Definition Classes
    H2OMOJOModel
  144. def getModelDetails(): String

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

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

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    Attributes
    protected
    Definition Classes
    H2OMOJOModelUtils
  147. def getMonotoneConstraints(): Map[String, Double]

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

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    Definition Classes
    H2OMOJOPredictionMultinomial
  149. def getMultinomialPredictionSchema(): StructType

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    Definition Classes
    H2OMOJOPredictionMultinomial
  150. def getMultinomialPredictionUDF(): UserDefinedFunction

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    Definition Classes
    H2OMOJOPredictionMultinomial
  151. def getNamedMojoOutputColumns(): Boolean

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    Definition Classes
    H2OAlgorithmMOJOParams
  152. def getNbins(): Int

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  153. def getNbinsCats(): Int

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  154. def getNbinsTopLevel(): Int

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  155. def getNfolds(): Int

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  156. def getNtrees(): Int

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    Definition Classes
    H2OTreeBasedMOJOParams
  157. def getOffsetCol(): String

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

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

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    Definition Classes
    H2OMOJOPredictionOrdinal
  160. def getOrdinalPredictionSchema(): StructType

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    Definition Classes
    H2OMOJOPredictionOrdinal
  161. def getOrdinalPredictionUDF(): UserDefinedFunction

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

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    Definition Classes
    Params
  163. def getPredNoiseBandwidth(): Double

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  164. def getPredictionCol(): String

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

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    Definition Classes
    H2OMOJOPrediction
  166. def getPredictionSchema(): StructType

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    Definition Classes
    H2OMOJOPrediction
  167. def getPredictionUDF(): UserDefinedFunction

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    Definition Classes
    H2OMOJOPrediction
  168. def getQuantileAlpha(): Double

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  169. def getRegressionPredictionColSchema(): Seq[StructField]

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    Definition Classes
    H2OMOJOPredictionRegression
  170. def getRegressionPredictionSchema(): StructType

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    Definition Classes
    H2OMOJOPredictionRegression
  171. def getRegressionPredictionUDF(): UserDefinedFunction

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

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

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    Definition Classes
    H2OMOJOModel
  174. def getSampleRate(): Double

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  175. def getSampleRatePerClass(): Array[Double]

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  176. def getScoreEachIteration(): Boolean

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  177. def getScoreTreeInterval(): Int

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  178. def getScoringHistory(): DataFrame

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    Definition Classes
    H2OMOJOModel
  179. def getSeed(): Long

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  180. def getStageProbabilitiesSchema(model: EasyPredictModelWrapper): DataType

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

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    Definition Classes
    H2OMOJOModel
  182. def getStoppingMetric(): String

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  183. def getStoppingRounds(): Int

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  184. def getStoppingTolerance(): Double

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  185. 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
  186. 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
  187. def getTrainingParams(): Map[String, String]

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    Definition Classes
    H2OMOJOModel
  188. def getTweediePower(): Double

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  189. 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
  190. 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
  191. def getWeightCol(): String

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  192. def getWithContributions(): Boolean

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    Definition Classes
    H2OAlgorithmMOJOParams
  193. def getWithLeafNodeAssignments(): Boolean

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    Definition Classes
    H2OAlgorithmMOJOParams
  194. def getWithStageResults(): Boolean

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

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  196. def getWordEmbeddingPredictionSchema(): StructType

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  197. def getWordEmbeddingPredictionUDF(): UserDefinedFunction

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

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

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    Definition Classes
    Params
  200. def hasParent: Boolean

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    Definition Classes
    Model
  201. def hashCode(): Int

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    Definition Classes
    AnyRef → Any
  202. val histogramType: NullableStringParam

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    Attributes
    protected
  203. val huberAlpha: DoubleParam

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    Attributes
    protected
  204. val ignoreConstCols: BooleanParam

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

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

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    Attributes
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    Logging
  207. def inputColumnNames: Array[String]

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    Attributes
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    H2OAlgorithmMOJOModelH2OMOJOFlattenedInput
  208. def intArrayParam(name: String, doc: String): IntArrayParam

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

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

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  211. final def isInstanceOf[T0]: Boolean

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

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  213. def isTraceEnabled(): Boolean

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    Attributes
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    Logging
  214. def jsonFieldToDataFrame(outputJson: JsonObject, fieldName: String): DataFrame

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    H2OMOJOModelUtils
  215. def jsonFieldToDoubleArray(outputJson: JsonObject, fieldName: String): Array[Double]

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    H2OMOJOModelUtils
  216. val keepCrossValidationFoldAssignment: BooleanParam

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  217. val keepCrossValidationModels: BooleanParam

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  218. val keepCrossValidationPredictions: BooleanParam

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  219. val labelCol: Param[String]

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  220. val learnRate: DoubleParam

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  221. val learnRateAnnealing: DoubleParam

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  222. def log: Logger

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

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

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

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

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

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    Logging
  228. def logInfo(msg: ⇒ String): Unit

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    Logging
  229. def logName: String

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

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

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

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

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

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  235. val maxAbsLeafnodePred: DoubleParam

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  236. val maxAfterBalanceSize: FloatParam

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  237. val maxConfusionMatrixSize: IntParam

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  238. val maxDepth: IntParam

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  239. val maxRuntimeSecs: DoubleParam

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  240. val minRows: DoubleParam

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  241. val minSplitImprovement: DoubleParam

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  242. final val modelCategory: NullableStringParam

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    H2OMOJOModel
  243. final val modelDetails: NullableStringParam

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    H2OMOJOModel
  244. final val namedMojoOutputColumns: Param[Boolean]

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    Attributes
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    H2OAlgorithmMOJOParams
  245. val nbins: IntParam

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  246. val nbinsCats: IntParam

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  247. val nbinsTopLevel: IntParam

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

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  249. val nfolds: IntParam

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  250. final def notify(): Unit

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  251. final def notifyAll(): Unit

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  252. final val ntrees: IntParam

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    Attributes
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    H2OTreeBasedMOJOParams
  253. def nullableDataFrameParam(name: String, doc: String): NullableDataFrameParam

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

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

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

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

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

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

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

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

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  262. def outputColumnName: String

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

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

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    Definition Classes
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  265. var parent: Estimator[H2OMOJOModel]

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    Definition Classes
    Model
  266. val predNoiseBandwidth: DoubleParam

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  267. final val predictionCol: Param[String]

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    H2OAlgorithmMOJOParams
  268. val quantileAlpha: DoubleParam

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  269. final val runTime: LongParam

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    H2OMOJOModel
  270. val sampleRate: DoubleParam

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  271. val sampleRatePerClass: NullableDoubleArrayParam

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  272. def save(path: String): Unit

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

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  274. val scoreTreeInterval: IntParam

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  275. final val scoringHistory: NullableDataFrameParam

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    H2OMOJOModel
  276. val seed: LongParam

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  277. final def set(paramPair: ParamPair[_]): H2OGBMMOJOModel.this.type

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  278. final def set(param: String, value: Any): H2OGBMMOJOModel.this.type

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  279. final def set[T](param: Param[T], value: T): H2OGBMMOJOModel.this.type

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  280. def setDataFrameSerializer(fullClassName: String): H2OGBMMOJOModel.this.type

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

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  282. final def setDefault[T](param: Param[T], value: T): H2OGBMMOJOModel.this.type

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  283. def setMojo(mojo: File): H2OGBMMOJOModel.this.type

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

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

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

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    Definition Classes
    Model
  287. final val startTime: LongParam

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    H2OMOJOModel
  288. val stoppingMetric: NullableStringParam

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  289. val stoppingRounds: IntParam

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  290. val stoppingTolerance: DoubleParam

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

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

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

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  294. def toString(): String

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

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    H2OMOJOModel
  296. final val trainingMetricsObject: NullableMetricsParam

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    H2OMOJOModel
  297. final val trainingParams: MapStringStringParam

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

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

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

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

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

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    @DeveloperApi()
  303. val tweediePower: DoubleParam

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  304. val uid: String

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  305. 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
  306. final val validationMetrics: MapStringDoubleParam

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    H2OMOJOModel
  307. final val validationMetricsObject: NullableMetricsParam

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    H2OMOJOModel
  308. final def wait(): Unit

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

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

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

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  312. final val withContributions: BooleanParam

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    H2OAlgorithmMOJOParams
  313. final val withLeafNodeAssignments: BooleanParam

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    H2OAlgorithmMOJOParams
  314. final val withStageResults: BooleanParam

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    Attributes
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    H2OAlgorithmMOJOParams
  315. 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