Class/Object

ai.h2o.sparkling.ml.models

H2ODRFMOJOModel

Related Docs: object H2ODRFMOJOModel | package models

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class H2ODRFMOJOModel extends H2OTreeBasedSupervisedMOJOModel with ParameterConstructorMethods with Logging with HasIgnoredColsOnMOJO

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Inherited
  1. H2ODRFMOJOModel
  2. HasIgnoredColsOnMOJO
  3. ParameterConstructorMethods
  4. H2OTreeBasedSupervisedMOJOModel
  5. H2OTreeBasedMOJOParams
  6. H2OSupervisedMOJOModel
  7. H2OSupervisedMOJOParams
  8. H2OAlgorithmMOJOModel
  9. H2OAlgorithmMOJOParams
  10. H2OMOJOPrediction
  11. H2OMOJOPredictionOrdinal
  12. H2OMOJOPredictionCoxPH
  13. H2OMOJOPredictionBinomial
  14. H2OMOJOPredictionClustering
  15. H2OMOJOPredictionDimReduction
  16. H2OMOJOPredictionMultinomial
  17. PredictionWithStageProbabilities
  18. H2OMOJOPredictionAnomaly
  19. H2OMOJOPredictionWordEmbedding
  20. H2OMOJOPredictionRegression
  21. PredictionWithContributions
  22. H2OMOJOModel
  23. HasFeatureTypesOnMOJO
  24. H2OBaseMOJOParams
  25. HasDataFrameSerializer
  26. SpecificMOJOParameters
  27. H2OMOJOModelUtils
  28. Logging
  29. H2OMOJOWritable
  30. MLWritable
  31. HasMojo
  32. H2OMOJOFlattenedInput
  33. Model
  34. Transformer
  35. PipelineStage
  36. Logging
  37. Params
  38. Serializable
  39. Serializable
  40. Identifiable
  41. AnyRef
  42. Any
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Visibility
  1. Public
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Instance Constructors

  1. new H2ODRFMOJOModel(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. val binomialDoubleTrees: BooleanParam

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

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    Attributes
    protected
    Definition Classes
    ParameterConstructorMethods
  12. val buildTreeOneNode: BooleanParam

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    Attributes
    protected
  13. val calibrateModel: BooleanParam

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    Attributes
    protected
  14. val categoricalEncoding: NullableStringParam

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    Attributes
    protected
  15. val checkConstantResponse: BooleanParam

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    Attributes
    protected
  16. val classSamplingFactors: NullableFloatArrayParam

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    Attributes
    protected
  17. final def clear(param: Param[_]): H2ODRFMOJOModel.this.type

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    Definition Classes
    Params
  18. def clone(): AnyRef

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    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  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 customMetricFunc: NullableStringParam

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

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

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

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

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    Attributes
    protected
    Definition Classes
    H2OAlgorithmMOJOParams
  34. val distribution: NullableStringParam

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

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

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

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

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

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

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    Definition Classes
    Params
  41. def explainParams(): String

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    Definition Classes
    Params
  42. val exportCheckpointsDir: NullableStringParam

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    Attributes
    protected
  43. def extractAnomalyPredictionColContent(): Column

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    Definition Classes
    H2OMOJOPredictionAnomaly
  44. def extractBinomialPredictionColContent(): Column

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    Definition Classes
    H2OMOJOPredictionBinomial
  45. def extractClusteringPredictionColContent(): Column

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    Definition Classes
    H2OMOJOPredictionClustering
  46. def extractCoxPHPredictionColContent(): Column

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

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

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  49. def extractFeatureImportances(outputJson: JsonObject): DataFrame

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

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

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

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

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

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

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    Definition Classes
    H2OMOJOPredictionMultinomial
  56. def extractOrdinalPredictionColContent(): Column

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

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

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

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

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    Definition Classes
    H2OMOJOPrediction
  61. def extractRegressionPredictionColContent(): Column

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

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

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  64. final val featureImportances: NullableDataFrameParam

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

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

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

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

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    Attributes
    protected
    Definition Classes
    ParameterConstructorMethods
  69. val foldAssignment: NullableStringParam

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    Attributes
    protected
  70. val foldCol: NullableStringParam

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    Attributes
    protected
  71. val gainsliftBins: IntParam

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

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

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    Definition Classes
    H2OMOJOPredictionAnomaly
  74. def getAnomalyPredictionSchema(): StructType

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    Definition Classes
    H2OMOJOPredictionAnomaly
  75. def getAnomalyPredictionUDF(): UserDefinedFunction

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    Definition Classes
    H2OMOJOPredictionAnomaly
  76. def getAucType(): String

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  77. def getBalanceClasses(): Boolean

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  78. def getBinomialDoubleTrees(): 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 getColSampleRateChangePerLevel(): Double

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  92. def getColSampleRatePerTree(): Double

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  93. def getContributionsSchema(model: EasyPredictModelWrapper): DataType

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

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    Definition Classes
    H2OBaseMOJOParams
  95. def getConvertUnknownCategoricalLevelsToNa(): Boolean

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

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    Definition Classes
    H2OMOJOPredictionCoxPH
  97. def getCoxPHPredictionSchema(): StructType

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    Definition Classes
    H2OMOJOPredictionCoxPH
  98. def getCoxPHPredictionUDF(): UserDefinedFunction

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    Definition Classes
    H2OMOJOPredictionCoxPH
  99. 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
  100. 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
  101. 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
  102. def getCrossValidationModels(): Seq[H2ODRFMOJOModel.this.type]

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    Definition Classes
    H2OMOJOModel
  103. 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
  104. 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
  105. def getCustomMetricFunc(): String

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  106. def getDataFrameSerializer(): String

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

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    Definition Classes
    Params
  108. def getDefaultThreshold(): Double

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    Definition Classes
    H2OMOJOModel
  109. def getDetailedPredictionCol(): String

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

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

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  112. def getDimReductionPredictionSchema(): StructType

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  113. def getDimReductionPredictionUDF(): UserDefinedFunction

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  114. def getDistribution(): String

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

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    Definition Classes
    H2OMOJOModel
  116. def getEndTime(): Long

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    Definition Classes
    H2OMOJOModel
  117. def getExportCheckpointsDir(): String

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  118. def getFeatureImportances(): DataFrame

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

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

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    Definition Classes
    H2OAlgorithmMOJOParams
  121. def getFoldAssignment(): String

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  122. def getFoldCol(): String

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  123. def getGainsliftBins(): Int

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  124. def getHistogramType(): String

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  125. def getIgnoreConstCols(): Boolean

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  126. def getIgnoredCols(): Array[String]

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    Definition Classes
    HasIgnoredColsOnMOJO
  127. def getKeepCrossValidationFoldAssignment(): Boolean

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  128. def getKeepCrossValidationModels(): Boolean

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  129. def getKeepCrossValidationPredictions(): Boolean

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  130. def getLabelCol(): String

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  131. def getMaxAfterBalanceSize(): Float

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  132. def getMaxConfusionMatrixSize(): Int

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  133. def getMaxDepth(): Int

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  134. def getMaxRuntimeSecs(): Double

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  135. def getMinRows(): Double

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  136. def getMinSplitImprovement(): Double

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  137. def getModelCategory(): String

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    Definition Classes
    H2OMOJOModel
  138. def getModelDetails(): String

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

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

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    Attributes
    protected
    Definition Classes
    H2OMOJOModelUtils
  141. def getMtries(): Int

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  142. def getMultinomialPredictionColSchema(): Seq[StructField]

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    Definition Classes
    H2OMOJOPredictionMultinomial
  143. def getMultinomialPredictionSchema(): StructType

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    Definition Classes
    H2OMOJOPredictionMultinomial
  144. def getMultinomialPredictionUDF(): UserDefinedFunction

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    Definition Classes
    H2OMOJOPredictionMultinomial
  145. def getNamedMojoOutputColumns(): Boolean

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    Definition Classes
    H2OAlgorithmMOJOParams
  146. def getNbins(): Int

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  147. def getNbinsCats(): Int

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  148. def getNbinsTopLevel(): Int

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  149. def getNfolds(): Int

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  150. def getNtrees(): Int

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    Definition Classes
    H2OTreeBasedMOJOParams
  151. def getOffsetCol(): String

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

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

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    Definition Classes
    H2OMOJOPredictionOrdinal
  154. def getOrdinalPredictionSchema(): StructType

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    Definition Classes
    H2OMOJOPredictionOrdinal
  155. def getOrdinalPredictionUDF(): UserDefinedFunction

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

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    Definition Classes
    Params
  157. def getPredictionCol(): String

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

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    Definition Classes
    H2OMOJOPrediction
  159. def getPredictionSchema(): StructType

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    Definition Classes
    H2OMOJOPrediction
  160. def getPredictionUDF(): UserDefinedFunction

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

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    Definition Classes
    H2OMOJOPredictionRegression
  162. def getRegressionPredictionSchema(): StructType

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    Definition Classes
    H2OMOJOPredictionRegression
  163. def getRegressionPredictionUDF(): UserDefinedFunction

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

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

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    Definition Classes
    H2OMOJOModel
  166. def getSampleRate(): Double

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  167. def getSampleRatePerClass(): Array[Double]

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  168. def getScoreEachIteration(): Boolean

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  169. def getScoreTreeInterval(): Int

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  170. def getScoringHistory(): DataFrame

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    Definition Classes
    H2OMOJOModel
  171. def getSeed(): Long

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  172. def getStageProbabilitiesSchema(model: EasyPredictModelWrapper): DataType

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

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    Definition Classes
    H2OMOJOModel
  174. def getStoppingMetric(): String

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  175. def getStoppingRounds(): Int

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  176. def getStoppingTolerance(): Double

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  177. 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
  178. 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
  179. def getTrainingParams(): Map[String, String]

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    Definition Classes
    H2OMOJOModel
  180. 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
  181. 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
  182. def getWeightCol(): String

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  183. def getWithContributions(): Boolean

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    Definition Classes
    H2OAlgorithmMOJOParams
  184. def getWithLeafNodeAssignments(): Boolean

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    Definition Classes
    H2OAlgorithmMOJOParams
  185. def getWithStageResults(): Boolean

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

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  187. def getWordEmbeddingPredictionSchema(): StructType

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  188. def getWordEmbeddingPredictionUDF(): UserDefinedFunction

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

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

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    Definition Classes
    Params
  191. def hasParent: Boolean

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    Definition Classes
    Model
  192. def hashCode(): Int

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    Definition Classes
    AnyRef → Any
  193. val histogramType: NullableStringParam

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    Attributes
    protected
  194. val ignoreConstCols: BooleanParam

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

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

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

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

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

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    Attributes
    protected
    Definition Classes
    ParameterConstructorMethods
  200. final def isDefined(param: Param[_]): Boolean

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

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

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    Definition Classes
    Params
  203. def isTraceEnabled(): Boolean

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

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

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  206. val keepCrossValidationFoldAssignment: BooleanParam

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  207. val keepCrossValidationModels: BooleanParam

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  208. val keepCrossValidationPredictions: BooleanParam

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  209. val labelCol: Param[String]

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  210. def log: Logger

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

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

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

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

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

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

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    Logging
  217. def logName: String

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

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

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

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

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

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  223. val maxAfterBalanceSize: FloatParam

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  224. val maxConfusionMatrixSize: IntParam

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  225. val maxDepth: IntParam

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  226. val maxRuntimeSecs: DoubleParam

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  227. val minRows: DoubleParam

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  228. val minSplitImprovement: DoubleParam

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  229. final val modelCategory: NullableStringParam

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    H2OMOJOModel
  230. final val modelDetails: NullableStringParam

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    H2OMOJOModel
  231. val mtries: IntParam

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  232. final val namedMojoOutputColumns: Param[Boolean]

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    H2OAlgorithmMOJOParams
  233. val nbins: IntParam

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  234. val nbinsCats: IntParam

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  235. val nbinsTopLevel: IntParam

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

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  237. val nfolds: IntParam

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  238. final def notify(): Unit

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  239. final def notifyAll(): Unit

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  240. final val ntrees: IntParam

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

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

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

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

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

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

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

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

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

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  250. def outputColumnName: String

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

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

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    Definition Classes
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  253. var parent: Estimator[H2OMOJOModel]

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

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    H2OAlgorithmMOJOParams
  255. final val runTime: LongParam

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    H2OMOJOModel
  256. val sampleRate: DoubleParam

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  257. val sampleRatePerClass: NullableDoubleArrayParam

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  258. def save(path: String): Unit

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

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  260. val scoreTreeInterval: IntParam

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  261. final val scoringHistory: NullableDataFrameParam

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    H2OMOJOModel
  262. val seed: LongParam

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  263. final def set(paramPair: ParamPair[_]): H2ODRFMOJOModel.this.type

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  264. final def set(param: String, value: Any): H2ODRFMOJOModel.this.type

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  265. final def set[T](param: Param[T], value: T): H2ODRFMOJOModel.this.type

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  266. def setDataFrameSerializer(fullClassName: String): H2ODRFMOJOModel.this.type

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    Definition Classes
    H2OBaseMOJOParams
  267. final def setDefault(paramPairs: ParamPair[_]*): H2ODRFMOJOModel.this.type

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  268. final def setDefault[T](param: Param[T], value: T): H2ODRFMOJOModel.this.type

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  269. def setMojo(mojo: File): H2ODRFMOJOModel.this.type

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    Definition Classes
    HasMojo
  270. def setMojo(mojo: InputStream, mojoName: String): H2ODRFMOJOModel.this.type

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    Definition Classes
    HasMojo
  271. def setMojo(mojo: InputStream): H2ODRFMOJOModel.this.type

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

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    Definition Classes
    Model
  273. final val startTime: LongParam

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    H2OMOJOModel
  274. val stoppingMetric: NullableStringParam

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  275. val stoppingRounds: IntParam

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  276. val stoppingTolerance: DoubleParam

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

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

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

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  280. def toString(): String

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    Identifiable → AnyRef → Any
  281. final val trainingMetrics: MapStringDoubleParam

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    H2OMOJOModel
  282. final val trainingMetricsObject: NullableMetricsParam

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    H2OMOJOModel
  283. final val trainingParams: MapStringStringParam

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

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

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    Definition Classes
    Transformer
    Annotations
    @Since( "2.0.0" )
  286. 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()
  287. def transformSchema(schema: StructType): StructType

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

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    @DeveloperApi()
  289. val uid: String

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  290. 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
  291. final val validationMetrics: MapStringDoubleParam

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    H2OMOJOModel
  292. final val validationMetricsObject: NullableMetricsParam

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    H2OMOJOModel
  293. final def wait(): Unit

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

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

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

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  297. final val withContributions: BooleanParam

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    H2OAlgorithmMOJOParams
  298. final val withLeafNodeAssignments: BooleanParam

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    H2OAlgorithmMOJOParams
  299. final val withStageResults: BooleanParam

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    H2OAlgorithmMOJOParams
  300. 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