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 defaultThreshold: DoubleParam

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

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

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

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

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

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

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

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    Definition Classes
    Params
  34. def explainParams(): String

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    Definition Classes
    Params
  35. val exportCheckpointsDir: NullableStringParam

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    Attributes
    protected
  36. def extractAnomalyPredictionColContent(): Column

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    Definition Classes
    H2OMOJOPredictionAnomaly
  37. def extractBinomialPredictionColContent(): Column

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    Definition Classes
    H2OMOJOPredictionBinomial
  38. def extractClusteringPredictionColContent(): Column

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    Definition Classes
    H2OMOJOPredictionClustering
  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 extractMetrics(json: JsonObject, metricType: String): Map[String, Double]

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

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

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

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    Definition Classes
    H2OMOJOPredictionMultinomial
  49. def extractOrdinalPredictionColContent(): Column

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

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

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

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

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    Definition Classes
    H2OMOJOPrediction
  54. def extractRegressionPredictionColContent(): Column

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

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

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  57. final val featureImportances: NullableDataFrameParam

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

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

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

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

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

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

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    Definition Classes
    H2OMOJOPredictionAnomaly
  64. def getAnomalyPredictionSchema(): StructType

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    Definition Classes
    H2OMOJOPredictionAnomaly
  65. def getAnomalyPredictionUDF(): UserDefinedFunction

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

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    Definition Classes
    H2OMOJOPredictionBinomial
  67. def getBinomialPredictionSchema(): StructType

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    Definition Classes
    H2OMOJOPredictionBinomial
  68. def getBinomialPredictionUDF(): UserDefinedFunction

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    Definition Classes
    H2OMOJOPredictionBinomial
  69. def getBuildTreeOneNode(): Boolean

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  70. def getCategoricalEncoding(): String

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

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

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    Definition Classes
    H2OMOJOPredictionClustering
  73. def getClusteringPredictionSchema(): StructType

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    Definition Classes
    H2OMOJOPredictionClustering
  74. def getClusteringPredictionUDF(): UserDefinedFunction

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    Definition Classes
    H2OMOJOPredictionClustering
  75. def getColSampleRateChangePerLevel(): Double

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  76. def getColSampleRatePerTree(): Double

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  77. def getContamination(): Double

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  78. def getContributionsSchema(model: EasyPredictModelWrapper): DataType

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

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    Definition Classes
    H2OBaseMOJOParams
  80. def getConvertUnknownCategoricalLevelsToNa(): Boolean

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

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    Definition Classes
    H2OMOJOPredictionCoxPH
  82. def getCoxPHPredictionSchema(): StructType

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    Definition Classes
    H2OMOJOPredictionCoxPH
  83. def getCoxPHPredictionUDF(): UserDefinedFunction

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    Definition Classes
    H2OMOJOPredictionCoxPH
  84. 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
  85. 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
  86. 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
  87. def getCrossValidationModels(): Seq[H2OIsolationForestMOJOModel.this.type]

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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(): UserDefinedFunction

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

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    Definition Classes
    H2OMOJOModel
  99. def getEndTime(): Long

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    Definition Classes
    H2OMOJOModel
  100. def getExportCheckpointsDir(): String

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  101. def getFeatureImportances(): DataFrame

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

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

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    Definition Classes
    H2OAlgorithmMOJOParams
  104. def getIgnoreConstCols(): Boolean

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  105. def getIgnoredCols(): Array[String]

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  106. def getMaxDepth(): Int

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  107. def getMaxRuntimeSecs(): Double

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  108. def getMinRows(): Double

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  109. def getModelCategory(): String

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    Definition Classes
    H2OMOJOModel
  110. def getModelDetails(): String

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

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

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

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  114. def getMultinomialPredictionColSchema(): Seq[StructField]

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    Definition Classes
    H2OMOJOPredictionMultinomial
  115. def getMultinomialPredictionSchema(): StructType

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    Definition Classes
    H2OMOJOPredictionMultinomial
  116. def getMultinomialPredictionUDF(): UserDefinedFunction

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    Definition Classes
    H2OMOJOPredictionMultinomial
  117. def getNamedMojoOutputColumns(): Boolean

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    Definition Classes
    H2OAlgorithmMOJOParams
  118. def getNtrees(): Int

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

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

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    Definition Classes
    H2OMOJOPredictionOrdinal
  121. def getOrdinalPredictionSchema(): StructType

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    Definition Classes
    H2OMOJOPredictionOrdinal
  122. def getOrdinalPredictionUDF(): UserDefinedFunction

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

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    Definition Classes
    Params
  124. def getPredictionCol(): String

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

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    Definition Classes
    H2OMOJOPrediction
  126. def getPredictionSchema(): StructType

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    Definition Classes
    H2OMOJOPrediction
  127. def getPredictionUDF(): UserDefinedFunction

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

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    Definition Classes
    H2OMOJOPredictionRegression
  129. def getRegressionPredictionSchema(): StructType

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    Definition Classes
    H2OMOJOPredictionRegression
  130. def getRegressionPredictionUDF(): UserDefinedFunction

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

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

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    Definition Classes
    H2OMOJOModel
  133. def getSampleRate(): Double

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  134. def getSampleSize(): Long

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  135. def getScoreEachIteration(): Boolean

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  136. def getScoreTreeInterval(): Int

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  137. def getScoringHistory(): DataFrame

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    Definition Classes
    H2OMOJOModel
  138. def getSeed(): Long

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  139. def getStageProbabilitiesSchema(model: EasyPredictModelWrapper): DataType

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

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    Definition Classes
    H2OMOJOModel
  141. def getStoppingMetric(): String

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  142. def getStoppingRounds(): Int

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  143. def getStoppingTolerance(): Double

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  144. 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
  145. 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
  146. def getTrainingParams(): Map[String, String]

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    Definition Classes
    H2OMOJOModel
  147. 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
  148. 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
  149. def getVariableSplits(): DataFrame

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  150. def getWithContributions(): Boolean

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    Definition Classes
    H2OAlgorithmMOJOParams
  151. def getWithLeafNodeAssignments(): Boolean

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    Definition Classes
    H2OAlgorithmMOJOParams
  152. def getWithStageResults(): Boolean

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

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  154. def getWordEmbeddingPredictionSchema(): StructType

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  155. def getWordEmbeddingPredictionUDF(): UserDefinedFunction

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

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

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    Definition Classes
    Params
  158. def hasParent: Boolean

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    Definition Classes
    Model
  159. def hashCode(): Int

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    Definition Classes
    AnyRef → Any
  160. val ignoreConstCols: BooleanParam

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    Attributes
    protected
  161. val ignoredCols: NullableStringArrayParam

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

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

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

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

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

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

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    Params
  168. final def isInstanceOf[T0]: Boolean

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

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    Definition Classes
    Params
  170. def isTraceEnabled(): Boolean

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

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

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    Attributes
    protected
    Definition Classes
    H2OMOJOModelUtils
  173. def log: Logger

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

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

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

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

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

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

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    Definition Classes
    Logging
  180. def logName: String

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

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    Attributes
    protected
    Definition Classes
    Logging
  182. def logTrace(msg: ⇒ String): Unit

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

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

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

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    protected
    Definition Classes
    ParameterConstructorMethods
  186. val maxDepth: IntParam

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  187. val maxRuntimeSecs: DoubleParam

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    Attributes
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  188. val minRows: DoubleParam

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  189. final val modelCategory: NullableStringParam

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    H2OMOJOModel
  190. final val modelDetails: NullableStringParam

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    H2OMOJOModel
  191. val mtries: IntParam

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  192. final val namedMojoOutputColumns: Param[Boolean]

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    Attributes
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    H2OAlgorithmMOJOParams
  193. final def ne(arg0: AnyRef): Boolean

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    AnyRef
  194. final def notify(): Unit

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  195. final def notifyAll(): Unit

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  196. final val ntrees: IntParam

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

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

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

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    Attributes
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    ParameterConstructorMethods
  200. def nullableFloatArrayParam(name: String, doc: String): NullableFloatArrayParam

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

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

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

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

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

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  206. def outputColumnName: String

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

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

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

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

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    Attributes
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    H2OAlgorithmMOJOParams
  211. final val runTime: LongParam

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    H2OMOJOModel
  212. val sampleRate: DoubleParam

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  213. val sampleSize: LongParam

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  214. def save(path: String): Unit

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

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  216. val scoreTreeInterval: IntParam

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  217. final val scoringHistory: NullableDataFrameParam

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    H2OMOJOModel
  218. val seed: LongParam

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

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

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

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  222. def setDataFrameSerializer(fullClassName: String): H2OIsolationForestMOJOModel.this.type

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

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

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

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

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

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

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    Definition Classes
    Model
  229. final val startTime: LongParam

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    H2OMOJOModel
  230. val stoppingMetric: NullableStringParam

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  231. val stoppingRounds: IntParam

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  232. val stoppingTolerance: DoubleParam

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

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

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

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  236. def toString(): String

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

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    H2OMOJOModel
  238. final val trainingMetricsObject: NullableMetricsParam

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    H2OMOJOModel
  239. final val trainingParams: MapStringStringParam

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

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

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    Definition Classes
    Transformer
    Annotations
    @Since( "2.0.0" )
  242. 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()
  243. def transformSchema(schema: StructType): StructType

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

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    PipelineStage
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    @DeveloperApi()
  245. val uid: String

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  246. 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
  247. final val validationMetrics: MapStringDoubleParam

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    H2OMOJOModel
  248. final val validationMetricsObject: NullableMetricsParam

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    H2OMOJOModel
  249. val variableSplits: NullableDataFrameParam

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  250. final def wait(): Unit

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

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

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

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    H2OAlgorithmMOJOParams
  254. final val withLeafNodeAssignments: BooleanParam

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    H2OAlgorithmMOJOParams
  255. final val withStageResults: BooleanParam

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    H2OAlgorithmMOJOParams
  256. 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