Class/Object

ai.h2o.sparkling.ml.models

H2OIsolationForestMOJOModel

Related Docs: object H2OIsolationForestMOJOModel | package models

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class H2OIsolationForestMOJOModel extends H2OTreeBasedUnsupervisedMOJOModel with ParameterConstructorMethods with Logging

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Inherited
  1. H2OIsolationForestMOJOModel
  2. ParameterConstructorMethods
  3. H2OTreeBasedUnsupervisedMOJOModel
  4. H2OTreeBasedMOJOParams
  5. H2OUnsupervisedMOJOModel
  6. H2OAlgorithmMOJOModel
  7. H2OAlgorithmMOJOParams
  8. H2OMOJOPrediction
  9. H2OMOJOPredictionOrdinal
  10. H2OMOJOPredictionCoxPH
  11. H2OMOJOPredictionBinomial
  12. H2OMOJOPredictionClustering
  13. H2OMOJOPredictionDimReduction
  14. H2OMOJOPredictionMultinomial
  15. PredictionWithStageProbabilities
  16. H2OMOJOPredictionAnomaly
  17. H2OMOJOPredictionWordEmbedding
  18. H2OMOJOPredictionRegression
  19. PredictionWithContributions
  20. H2OMOJOModel
  21. HasFeatureTypesOnMOJO
  22. H2OBaseMOJOParams
  23. HasDataFrameSerializer
  24. SpecificMOJOParameters
  25. H2OMOJOModelUtils
  26. Logging
  27. H2OMOJOWritable
  28. MLWritable
  29. HasMojo
  30. H2OMOJOFlattenedInput
  31. Model
  32. Transformer
  33. PipelineStage
  34. Logging
  35. Params
  36. Serializable
  37. Serializable
  38. Identifiable
  39. AnyRef
  40. Any
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Instance Constructors

  1. new H2OIsolationForestMOJOModel(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
    H2OMOJOModelH2OMOJOFlattenedInput
  7. final def asInstanceOf[T0]: T0

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    Definition Classes
    Any
  8. def booleanParam(name: String, doc: String): BooleanParam

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    Attributes
    protected
    Definition Classes
    ParameterConstructorMethods
  9. val buildTreeOneNode: BooleanParam

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    Attributes
    protected
  10. val categoricalEncoding: NullableStringParam

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    Attributes
    protected
  11. final def clear(param: Param[_]): H2OIsolationForestMOJOModel.this.type

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    Definition Classes
    Params
  12. def clone(): AnyRef

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

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    Attributes
    protected
  14. val colSampleRatePerTree: DoubleParam

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    Attributes
    protected
  15. val contamination: DoubleParam

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    Attributes
    protected
  16. final val convertInvalidNumbersToNa: BooleanParam

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

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

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

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

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

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

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

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

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

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

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    Attributes
    protected
    Definition Classes
    H2OAlgorithmMOJOParams
  27. def doubleArrayParam(name: String, doc: String): DoubleArrayParam

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

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    Attributes
    protected
    Definition Classes
    ParameterConstructorMethods
  29. final def eq(arg0: AnyRef): Boolean

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

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

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    Definition Classes
    Params
  32. def explainParams(): String

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    Definition Classes
    Params
  33. val exportCheckpointsDir: NullableStringParam

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    Attributes
    protected
  34. def extractAnomalyPredictionColContent(): Column

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    Definition Classes
    H2OMOJOPredictionAnomaly
  35. def extractBinomialPredictionColContent(): Column

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    Definition Classes
    H2OMOJOPredictionBinomial
  36. def extractClusteringPredictionColContent(): Column

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    Definition Classes
    H2OMOJOPredictionClustering
  37. def extractCoxPHPredictionColContent(): Column

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

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

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  40. def extractFeatureImportances(outputJson: JsonObject): DataFrame

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

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

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

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

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

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    Definition Classes
    H2OMOJOPredictionMultinomial
  46. def extractOrdinalPredictionColContent(): Column

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

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

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

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

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    Definition Classes
    H2OMOJOPrediction
  51. def extractRegressionPredictionColContent(): Column

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

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

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  54. final val featureImportances: NullableDataFrameParam

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

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

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

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

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

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

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    Definition Classes
    H2OMOJOPredictionAnomaly
  61. def getAnomalyPredictionSchema(): StructType

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    Definition Classes
    H2OMOJOPredictionAnomaly
  62. def getAnomalyPredictionUDF(): UserDefinedFunction

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    Definition Classes
    H2OMOJOPredictionAnomaly
  63. def getBinomialPredictionColSchema(): Seq[StructField]

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    Definition Classes
    H2OMOJOPredictionBinomial
  64. def getBinomialPredictionSchema(): StructType

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    Definition Classes
    H2OMOJOPredictionBinomial
  65. def getBinomialPredictionUDF(): UserDefinedFunction

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    Definition Classes
    H2OMOJOPredictionBinomial
  66. def getBuildTreeOneNode(): Boolean

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  67. def getCategoricalEncoding(): String

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

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

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    Definition Classes
    H2OMOJOPredictionClustering
  70. def getClusteringPredictionSchema(): StructType

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    Definition Classes
    H2OMOJOPredictionClustering
  71. def getClusteringPredictionUDF(): UserDefinedFunction

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    Definition Classes
    H2OMOJOPredictionClustering
  72. def getColSampleRateChangePerLevel(): Double

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  73. def getColSampleRatePerTree(): Double

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  74. def getContamination(): Double

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  75. def getContributionsSchema(model: EasyPredictModelWrapper): DataType

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

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    Definition Classes
    H2OBaseMOJOParams
  77. def getConvertUnknownCategoricalLevelsToNa(): Boolean

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

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    Definition Classes
    H2OMOJOPredictionCoxPH
  79. def getCoxPHPredictionSchema(): StructType

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    Definition Classes
    H2OMOJOPredictionCoxPH
  80. def getCoxPHPredictionUDF(): UserDefinedFunction

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    Definition Classes
    H2OMOJOPredictionCoxPH
  81. 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
  82. def getCrossValidationMetricsObject(): H2OAnomalyMetrics

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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
    H2OIsolationForestMOJOModelH2OMOJOModel
  83. 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
  84. def getCrossValidationModels(): Seq[H2OIsolationForestMOJOModel.this.type]

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    Definition Classes
    H2OMOJOModel
  85. 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
  86. 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
  87. def getDataFrameSerializer(): String

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

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    Definition Classes
    Params
  89. def getDetailedPredictionCol(): String

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

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

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  92. def getDimReductionPredictionSchema(): StructType

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  93. def getDimReductionPredictionUDF(): UserDefinedFunction

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

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    Definition Classes
    H2OMOJOModel
  95. def getExportCheckpointsDir(): String

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  96. def getFeatureImportances(): DataFrame

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

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

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    Definition Classes
    H2OAlgorithmMOJOParams
  99. def getIgnoreConstCols(): Boolean

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  100. def getIgnoredCols(): Array[String]

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  101. def getMaxDepth(): Int

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  102. def getMaxRuntimeSecs(): Double

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  103. def getMinRows(): Double

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  104. def getModelCategory(): String

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    Definition Classes
    H2OMOJOModel
  105. def getModelDetails(): String

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

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

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

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  109. def getMultinomialPredictionColSchema(): Seq[StructField]

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    Definition Classes
    H2OMOJOPredictionMultinomial
  110. def getMultinomialPredictionSchema(): StructType

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    Definition Classes
    H2OMOJOPredictionMultinomial
  111. def getMultinomialPredictionUDF(): UserDefinedFunction

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    Definition Classes
    H2OMOJOPredictionMultinomial
  112. def getNamedMojoOutputColumns(): Boolean

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    Definition Classes
    H2OAlgorithmMOJOParams
  113. def getNtrees(): Int

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    Definition Classes
    H2OTreeBasedMOJOParams
  114. final def getOrDefault[T](param: Param[T]): T

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

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    Definition Classes
    H2OMOJOPredictionOrdinal
  116. def getOrdinalPredictionSchema(): StructType

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    Definition Classes
    H2OMOJOPredictionOrdinal
  117. def getOrdinalPredictionUDF(): UserDefinedFunction

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

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    Definition Classes
    Params
  119. def getPredictionCol(): String

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

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    Definition Classes
    H2OMOJOPrediction
  121. def getPredictionSchema(): StructType

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    Definition Classes
    H2OMOJOPrediction
  122. def getPredictionUDF(): UserDefinedFunction

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

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    Definition Classes
    H2OMOJOPredictionRegression
  124. def getRegressionPredictionSchema(): StructType

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    Definition Classes
    H2OMOJOPredictionRegression
  125. def getRegressionPredictionUDF(): UserDefinedFunction

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

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    Attributes
    protected
    Definition Classes
    H2OMOJOFlattenedInput
  127. def getSampleRate(): Double

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  128. def getSampleSize(): Long

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  129. def getScoreEachIteration(): Boolean

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  130. def getScoreTreeInterval(): Int

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  131. def getScoringHistory(): DataFrame

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    Definition Classes
    H2OMOJOModel
  132. def getSeed(): Long

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  133. def getStageProbabilitiesSchema(model: EasyPredictModelWrapper): DataType

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    Attributes
    protected
    Definition Classes
    PredictionWithStageProbabilities
  134. def getStoppingMetric(): String

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  135. def getStoppingRounds(): Int

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  136. def getStoppingTolerance(): Double

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  137. 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
  138. def getTrainingMetricsObject(): H2OAnomalyMetrics

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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
    H2OIsolationForestMOJOModelH2OMOJOModel
  139. def getTrainingParams(): Map[String, String]

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    Definition Classes
    H2OMOJOModel
  140. 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
  141. def getValidationMetricsObject(): H2OAnomalyMetrics

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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
    H2OIsolationForestMOJOModelH2OMOJOModel
  142. def getWithContributions(): Boolean

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    Definition Classes
    H2OAlgorithmMOJOParams
  143. def getWithDetailedPredictionCol(): Boolean

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    Definition Classes
    H2OAlgorithmMOJOParams
    Annotations
    @DeprecatedMethod( x$2 , x$1 )
  144. def getWithLeafNodeAssignments(): Boolean

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    Definition Classes
    H2OAlgorithmMOJOParams
  145. def getWithStageResults(): Boolean

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

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  147. def getWordEmbeddingPredictionSchema(): StructType

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  148. def getWordEmbeddingPredictionUDF(): UserDefinedFunction

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

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    Params
  150. def hasParam(paramName: String): Boolean

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    Definition Classes
    Params
  151. def hasParent: Boolean

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    Definition Classes
    Model
  152. def hashCode(): Int

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    Definition Classes
    AnyRef → Any
  153. val ignoreConstCols: BooleanParam

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    protected
  154. val ignoredCols: NullableStringArrayParam

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

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

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

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

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

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

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    Params
  161. final def isInstanceOf[T0]: Boolean

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

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    Definition Classes
    Params
  163. def isTraceEnabled(): Boolean

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

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    Attributes
    protected
    Definition Classes
    H2OMOJOModelUtils
  165. def log: Logger

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

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

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

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

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

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    Definition Classes
    Logging
  171. def logInfo(msg: ⇒ String): Unit

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    Definition Classes
    Logging
  172. def logName: String

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

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    Definition Classes
    Logging
  174. def logTrace(msg: ⇒ String): Unit

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

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

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

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    Definition Classes
    ParameterConstructorMethods
  178. val maxDepth: IntParam

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    Attributes
    protected
  179. val maxRuntimeSecs: DoubleParam

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    Attributes
    protected
  180. val minRows: DoubleParam

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    Attributes
    protected
  181. final val modelCategory: NullableStringParam

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

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    Attributes
    protected
    Definition Classes
    H2OMOJOModel
  183. val mtries: IntParam

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    Attributes
    protected
  184. final val namedMojoOutputColumns: Param[Boolean]

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    Attributes
    protected
    Definition Classes
    H2OAlgorithmMOJOParams
  185. final def ne(arg0: AnyRef): Boolean

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    Definition Classes
    AnyRef
  186. final def notify(): Unit

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

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    Definition Classes
    AnyRef
  188. final val ntrees: IntParam

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    Attributes
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    Definition Classes
    H2OTreeBasedMOJOParams
  189. def nullableDoubleArrayArrayParam(name: String, doc: String): NullableDoubleArrayArrayParam

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

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

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

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

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

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

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    Attributes
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  196. def nullableStringParam(name: String, doc: String): NullableStringParam

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  197. def outputColumnName: String

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

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

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

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

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    Attributes
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    H2OAlgorithmMOJOParams
  202. val sampleRate: DoubleParam

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    Attributes
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  203. val sampleSize: LongParam

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

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

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    Attributes
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  206. val scoreTreeInterval: IntParam

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  207. final val scoringHistory: NullableDataFrameParam

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    H2OMOJOModel
  208. val seed: LongParam

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  209. final def set(paramPair: ParamPair[_]): H2OIsolationForestMOJOModel.this.type

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  210. final def set(param: String, value: Any): H2OIsolationForestMOJOModel.this.type

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  211. final def set[T](param: Param[T], value: T): H2OIsolationForestMOJOModel.this.type

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    Definition Classes
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  212. def setDataFrameSerializer(fullClassName: String): H2OIsolationForestMOJOModel.this.type

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    Definition Classes
    H2OBaseMOJOParams
  213. final def setDefault(paramPairs: ParamPair[_]*): H2OIsolationForestMOJOModel.this.type

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  214. final def setDefault[T](param: Param[T], value: T): H2OIsolationForestMOJOModel.this.type

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  215. def setMojo(mojo: File): H2OIsolationForestMOJOModel.this.type

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    Definition Classes
    HasMojo
  216. def setMojo(mojo: InputStream, mojoName: String): H2OIsolationForestMOJOModel.this.type

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    Definition Classes
    HasMojo
  217. def setMojo(mojo: InputStream): H2OIsolationForestMOJOModel.this.type

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

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    Definition Classes
    Model
  219. val stoppingMetric: NullableStringParam

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  220. val stoppingRounds: IntParam

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  221. val stoppingTolerance: DoubleParam

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

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

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

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  225. def toString(): String

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

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    H2OMOJOModel
  227. final val trainingMetricsObject: NullableMetricsParam

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    H2OMOJOModel
  228. final val trainingParams: MapStringStringParam

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

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

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    Definition Classes
    Transformer
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    @Since( "2.0.0" )
  231. 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()
  232. def transformSchema(schema: StructType): StructType

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    H2OAlgorithmMOJOModel → PipelineStage
    Annotations
    @DeveloperApi()
  233. def transformSchema(schema: StructType, logging: Boolean): StructType

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    @DeveloperApi()
  234. val uid: String

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  235. 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
  236. final val validationMetrics: MapStringDoubleParam

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    H2OMOJOModel
  237. final val validationMetricsObject: NullableMetricsParam

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    H2OMOJOModel
  238. final def wait(): Unit

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

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

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    @throws( ... )
  241. final val withContributions: BooleanParam

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    H2OAlgorithmMOJOParams
  242. final val withDetailedPredictionCol: BooleanParam

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    H2OAlgorithmMOJOParams
  243. final val withLeafNodeAssignments: BooleanParam

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    H2OAlgorithmMOJOParams
  244. final val withStageResults: BooleanParam

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    Attributes
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    H2OAlgorithmMOJOParams
  245. def write: MLWriter

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    Definition Classes
    H2OMOJOWritable → MLWritable

Inherited from H2OTreeBasedMOJOParams

Inherited from H2OUnsupervisedMOJOModel

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