Class/Object

ai.h2o.sparkling.ml.models

H2OExtendedIsolationForestMOJOModel

Related Docs: object H2OExtendedIsolationForestMOJOModel | package models

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class H2OExtendedIsolationForestMOJOModel extends H2OTreeBasedUnsupervisedMOJOModel with ParameterConstructorMethods with Logging with HasIgnoredColsOnMOJO

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Inherited
  1. H2OExtendedIsolationForestMOJOModel
  2. HasIgnoredColsOnMOJO
  3. ParameterConstructorMethods
  4. H2OTreeBasedUnsupervisedMOJOModel
  5. H2OTreeBasedMOJOParams
  6. H2OUnsupervisedMOJOModel
  7. H2OAlgorithmMOJOModel
  8. H2OAlgorithmMOJOParams
  9. H2OMOJOPrediction
  10. H2OMOJOPredictionOrdinal
  11. H2OMOJOPredictionCoxPH
  12. H2OMOJOPredictionBinomial
  13. H2OMOJOPredictionClustering
  14. H2OMOJOPredictionDimReduction
  15. H2OMOJOPredictionMultinomial
  16. PredictionWithStageProbabilities
  17. H2OMOJOPredictionAnomaly
  18. H2OMOJOPredictionWordEmbedding
  19. H2OMOJOPredictionRegression
  20. PredictionWithContributions
  21. H2OMOJOModel
  22. HasFeatureTypesOnMOJO
  23. H2OBaseMOJOParams
  24. HasDataFrameSerializer
  25. SpecificMOJOParameters
  26. H2OMOJOModelUtils
  27. Logging
  28. H2OMOJOWritable
  29. MLWritable
  30. HasMojo
  31. H2OMOJOFlattenedInput
  32. Model
  33. Transformer
  34. PipelineStage
  35. Logging
  36. Params
  37. Serializable
  38. Serializable
  39. Identifiable
  40. AnyRef
  41. Any
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Instance Constructors

  1. new H2OExtendedIsolationForestMOJOModel(uid: String)

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Type Members

  1. class SerializationWarningsObject extends Serializable

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    Definition Classes
    H2OMOJOModel

Value Members

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

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

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

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

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    Definition Classes
    AnyRef → Any
  5. def applyPredictionUdf(dataset: Dataset[_], udfConstructor: (Array[String]) ⇒ UserDefinedFunction): DataFrame

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

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    Attributes
    protected
    Definition Classes
    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 categoricalEncoding: NullableStringParam

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    Attributes
    protected
  10. final def clear(param: Param[_]): H2OExtendedIsolationForestMOJOModel.this.type

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    Definition Classes
    Params
  11. def clone(): AnyRef

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

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

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

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

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

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

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

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

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

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    Attributes
    protected
    Definition Classes
    H2OMOJOModel
  21. var crossValidationModelsScoringHistory: NullableDataFrameArrayParam

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

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

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

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

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    Attributes
    protected
    Definition Classes
    H2OAlgorithmMOJOParams
  26. val disableTrainingMetrics: BooleanParam

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    Attributes
    protected
  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 val endTime: LongParam

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

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

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

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    Definition Classes
    Params
  33. def explainParams(): String

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    Definition Classes
    Params
  34. val extensionLevel: IntParam

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    Attributes
    protected
  35. def extractAnomalyPredictionColContent(): Column

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    Definition Classes
    H2OMOJOPredictionAnomaly
  36. def extractBinomialPredictionColContent(): Column

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    Definition Classes
    H2OMOJOPredictionBinomial
  37. def extractClusteringPredictionColContent(): Column

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

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

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

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

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  42. def extractFeatureImportances(outputJson: JsonObject): DataFrame

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

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

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

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

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

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

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

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

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    Definition Classes
    H2OMOJOPredictionMultinomial
  51. def extractOrdinalPredictionColContent(): Column

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

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

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

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

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    Definition Classes
    H2OMOJOPrediction
  56. def extractRegressionPredictionColContent(): Column

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

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

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  59. final val featureImportances: NullableDataFrameParam

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

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

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

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

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

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

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    Definition Classes
    H2OMOJOPredictionAnomaly
  66. def getAnomalyPredictionSchema(): StructType

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

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

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    Definition Classes
    H2OMOJOPredictionBinomial
  69. def getBinomialPredictionSchema(): StructType

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

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    Definition Classes
    H2OMOJOPredictionBinomial
  71. def getCategoricalEncoding(): String

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

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

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    Definition Classes
    H2OMOJOPredictionClustering
  74. def getClusteringPredictionSchema(): StructType

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

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    Definition Classes
    H2OMOJOPredictionClustering
  76. def getCoefficients(): DataFrame

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

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

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    Definition Classes
    H2OBaseMOJOParams
  79. def getConvertUnknownCategoricalLevelsToNa(): Boolean

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

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    Definition Classes
    H2OMOJOPredictionCoxPH
  81. def getCoxPHPredictionSchema(): StructType

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

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    Definition Classes
    H2OMOJOPredictionCoxPH
  83. 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
  84. 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
    H2OExtendedIsolationForestMOJOModelH2OMOJOModel
  85. 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
  86. def getCrossValidationModels(): Seq[H2OExtendedIsolationForestMOJOModel.this.type]

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

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    Definition Classes
    H2OMOJOModel
  88. 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
  89. 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
  90. def getDataFrameSerializer(): String

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

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    Definition Classes
    Params
  92. def getDefaultThreshold(): Double

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    Definition Classes
    H2OMOJOModel
  93. def getDetailedPredictionCol(): String

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

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

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  96. def getDimReductionPredictionSchema(): StructType

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

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  98. def getDisableTrainingMetrics(): Boolean

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

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    Definition Classes
    H2OMOJOModel
  100. def getEndTime(): Long

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    Definition Classes
    H2OMOJOModel
  101. def getExtensionLevel(): Int

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  102. def getFeatureImportances(): DataFrame

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

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

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    Definition Classes
    H2OAlgorithmMOJOParams
  105. def getIgnoreConstCols(): Boolean

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  106. def getIgnoredCols(): Array[String]

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    Definition Classes
    HasIgnoredColsOnMOJO
  107. def getModelCategory(): String

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    Definition Classes
    H2OMOJOModel
  108. def getModelDetails(): String

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

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

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

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

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    Definition Classes
    H2OMOJOPredictionMultinomial
  113. def getMultinomialPredictionSchema(): StructType

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

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    Definition Classes
    H2OMOJOPredictionMultinomial
  115. def getNtrees(): Int

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

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

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    Definition Classes
    H2OMOJOPredictionOrdinal
  118. def getOrdinalPredictionSchema(): StructType

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

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

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    Definition Classes
    Params
  121. def getPredictionCol(): String

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

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    Definition Classes
    H2OMOJOPrediction
  123. def getPredictionSchema(): StructType

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    Definition Classes
    H2OMOJOPrediction
  124. def getPredictionUDF(): UserDefinedFunction

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

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    Definition Classes
    H2OMOJOPredictionRegression
  126. def getRegressionPredictionSchema(): StructType

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

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

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

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    Definition Classes
    H2OMOJOModel
  130. def getSampleSize(): Int

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  131. def getScoreEachIteration(): Boolean

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  132. def getScoreTreeInterval(): Int

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  133. def getScoringHistory(): DataFrame

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    Definition Classes
    H2OMOJOModel
  134. def getSeed(): Long

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  135. def getStageProbabilitiesSchema(model: EasyPredictModelWrapper): DataType

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

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    Definition Classes
    H2OMOJOModel
  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
    H2OExtendedIsolationForestMOJOModelH2OMOJOModel
  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
    H2OExtendedIsolationForestMOJOModelH2OMOJOModel
  142. def getWithContributions(): Boolean

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    Definition Classes
    H2OAlgorithmMOJOParams
  143. def getWithLeafNodeAssignments(): Boolean

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    Definition Classes
    H2OAlgorithmMOJOParams
  144. def getWithStageResults(): Boolean

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

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  146. def getWordEmbeddingPredictionSchema(): StructType

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

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

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

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    Definition Classes
    Params
  150. def hasParent: Boolean

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    Definition Classes
    Model
  151. def hashCode(): Int

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    Definition Classes
    AnyRef → Any
  152. val ignoreConstCols: BooleanParam

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

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

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

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

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

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

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

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

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    Definition Classes
    Params
  161. def isTraceEnabled(): Boolean

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

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

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    Attributes
    protected
    Definition Classes
    H2OMOJOModelUtils
  164. def log: Logger

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

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

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

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

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

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    Attributes
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    Logging
  170. def logInfo(msg: ⇒ String): Unit

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    Logging
  171. def logName: String

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

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    Attributes
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    Logging
  173. def logTrace(msg: ⇒ String): Unit

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

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    Attributes
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    Logging
  175. def logWarning(msg: ⇒ String): Unit

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

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  177. final val modelCategory: NullableStringParam

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    Attributes
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    H2OMOJOModel
  178. final val modelDetails: NullableStringParam

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    Attributes
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    H2OMOJOModel
  179. final val modelSummary: NullableDataFrameParam

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    H2OMOJOModel
  180. final def ne(arg0: AnyRef): Boolean

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

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    H2OMOJOModelUtils
  182. val nonSerializableField: AnyRef

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

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    AnyRef
  184. final def notifyAll(): Unit

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  185. final val ntrees: IntParam

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    Attributes
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    H2OTreeBasedMOJOParams
  186. def nullableBooleanArrayParam(name: String, doc: String): NullableBooleanArrayParam

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

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

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

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

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

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

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

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    Attributes
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  194. def nullableStringPairArrayParam(name: String, doc: String): NullableStringPairArrayParam

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

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  196. def outputColumnName: String

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

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

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

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

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    Attributes
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    H2OAlgorithmMOJOParams
  201. final val runTime: LongParam

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    H2OMOJOModel
  202. val sampleSize: IntParam

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

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

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  205. val scoreTreeInterval: IntParam

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  206. final val scoringHistory: NullableDataFrameParam

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    H2OMOJOModel
  207. val seed: LongParam

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  208. final def set(paramPair: ParamPair[_]): H2OExtendedIsolationForestMOJOModel.this.type

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  209. final def set(param: String, value: Any): H2OExtendedIsolationForestMOJOModel.this.type

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  210. final def set[T](param: Param[T], value: T): H2OExtendedIsolationForestMOJOModel.this.type

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  211. def setDataFrameSerializer(fullClassName: String): H2OExtendedIsolationForestMOJOModel.this.type

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    Definition Classes
    H2OBaseMOJOParams
  212. final def setDefault(paramPairs: ParamPair[_]*): H2OExtendedIsolationForestMOJOModel.this.type

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  213. final def setDefault[T](param: Param[T], value: T): H2OExtendedIsolationForestMOJOModel.this.type

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  214. def setMojo(mojo: File): H2OExtendedIsolationForestMOJOModel.this.type

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    Definition Classes
    HasMojo
  215. def setMojo(mojo: InputStream, mojoName: String): H2OExtendedIsolationForestMOJOModel.this.type

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    Definition Classes
    HasMojo
  216. def setMojo(mojo: InputStream): H2OExtendedIsolationForestMOJOModel.this.type

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

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    Definition Classes
    Model
  218. final val startTime: LongParam

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    H2OMOJOModel
  219. def stringArrayParam(name: String, doc: String): StringArrayParam

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

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

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  222. def toString(): String

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    H2OMOJOModel → Identifiable → AnyRef → Any
  223. final val trainingMetrics: MapStringDoubleParam

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    H2OMOJOModel
  224. final val trainingMetricsObject: NullableMetricsParam

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    H2OMOJOModel
  225. final val trainingParams: MapStringStringParam

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

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

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    Definition Classes
    Transformer
    Annotations
    @Since( "2.0.0" )
  228. 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()
  229. def transformSchema(schema: StructType): StructType

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

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    @DeveloperApi()
  231. val uid: String

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  232. 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
  233. final val validationMetrics: MapStringDoubleParam

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  234. final val validationMetricsObject: NullableMetricsParam

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    H2OMOJOModel
  235. final def wait(): Unit

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

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

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

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    H2OAlgorithmMOJOParams
  239. final val withLeafNodeAssignments: BooleanParam

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    H2OAlgorithmMOJOParams
  240. final val withStageResults: BooleanParam

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    H2OAlgorithmMOJOParams
  241. def write: MLWriter

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    Definition Classes
    H2OMOJOWritable → MLWritable

Inherited from HasIgnoredColsOnMOJO

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