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. SpecificMOJOParameters
  24. H2OMOJOModelUtils
  25. Logging
  26. H2OMOJOWritable
  27. MLWritable
  28. HasMojo
  29. H2OMOJOFlattenedInput
  30. Model
  31. Transformer
  32. PipelineStage
  33. Logging
  34. Params
  35. Serializable
  36. Serializable
  37. Identifiable
  38. AnyRef
  39. Any
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Visibility
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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 def defaultCopy[T <: Params](extra: ParamMap): T

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

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

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

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

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

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

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    Definition Classes
    Params
  31. def explainParams(): String

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    Definition Classes
    Params
  32. val exportCheckpointsDir: NullableStringParam

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    Attributes
    protected
  33. def extractAnomalyPredictionColContent(): Column

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    Definition Classes
    H2OMOJOPredictionAnomaly
  34. def extractBinomialPredictionColContent(): Column

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    Definition Classes
    H2OMOJOPredictionBinomial
  35. def extractClusteringPredictionColContent(): Column

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    Definition Classes
    H2OMOJOPredictionClustering
  36. def extractCoxPHPredictionColContent(): Column

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

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

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  39. def extractFeatureImportances(outputJson: JsonObject): DataFrame

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

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

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

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

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

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    Definition Classes
    H2OMOJOPredictionMultinomial
  45. def extractOrdinalPredictionColContent(): Column

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

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

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

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

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    Definition Classes
    H2OMOJOPrediction
  50. def extractRegressionPredictionColContent(): Column

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

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

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  53. final val featureImportances: NullableDataFrameParam

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

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

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

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

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

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

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    Definition Classes
    H2OMOJOPredictionAnomaly
  60. def getAnomalyPredictionSchema(): StructType

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    Definition Classes
    H2OMOJOPredictionAnomaly
  61. def getAnomalyPredictionUDF(): UserDefinedFunction

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

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    Definition Classes
    H2OMOJOPredictionBinomial
  63. def getBinomialPredictionSchema(): StructType

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    Definition Classes
    H2OMOJOPredictionBinomial
  64. def getBinomialPredictionUDF(): UserDefinedFunction

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    Definition Classes
    H2OMOJOPredictionBinomial
  65. def getBuildTreeOneNode(): Boolean

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  66. def getCategoricalEncoding(): String

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

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

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    Definition Classes
    H2OMOJOPredictionClustering
  69. def getClusteringPredictionSchema(): StructType

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    Definition Classes
    H2OMOJOPredictionClustering
  70. def getClusteringPredictionUDF(): UserDefinedFunction

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    Definition Classes
    H2OMOJOPredictionClustering
  71. def getColSampleRateChangePerLevel(): Double

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  72. def getColSampleRatePerTree(): Double

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  73. def getContamination(): Double

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  74. def getContributionsSchema(model: EasyPredictModelWrapper): DataType

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

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    Definition Classes
    H2OBaseMOJOParams
  76. def getConvertUnknownCategoricalLevelsToNa(): Boolean

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

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    Definition Classes
    H2OMOJOPredictionCoxPH
  78. def getCoxPHPredictionSchema(): StructType

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    Definition Classes
    H2OMOJOPredictionCoxPH
  79. def getCoxPHPredictionUDF(): UserDefinedFunction

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    Definition Classes
    H2OMOJOPredictionCoxPH
  80. 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
  81. 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
  82. 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
  83. def getCrossValidationModels(): Seq[H2OIsolationForestMOJOModel.this.type]

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    Definition Classes
    H2OMOJOModel
  84. 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
  85. 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
  86. final def getDefault[T](param: Param[T]): Option[T]

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    Definition Classes
    Params
  87. def getDetailedPredictionCol(): String

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

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

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  90. def getDimReductionPredictionSchema(): StructType

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  91. def getDimReductionPredictionUDF(): UserDefinedFunction

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

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    Definition Classes
    H2OMOJOModel
  93. def getExportCheckpointsDir(): String

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  94. def getFeatureImportances(): DataFrame

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

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

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    Definition Classes
    H2OAlgorithmMOJOParams
  97. def getIgnoreConstCols(): Boolean

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  98. def getIgnoredCols(): Array[String]

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  99. def getMaxDepth(): Int

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  100. def getMaxRuntimeSecs(): Double

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  101. def getMinRows(): Double

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  102. def getModelCategory(): String

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    Definition Classes
    H2OMOJOModel
  103. def getModelDetails(): String

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

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

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

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  107. def getMultinomialPredictionColSchema(): Seq[StructField]

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    Definition Classes
    H2OMOJOPredictionMultinomial
  108. def getMultinomialPredictionSchema(): StructType

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    Definition Classes
    H2OMOJOPredictionMultinomial
  109. def getMultinomialPredictionUDF(): UserDefinedFunction

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    Definition Classes
    H2OMOJOPredictionMultinomial
  110. def getNamedMojoOutputColumns(): Boolean

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    Definition Classes
    H2OAlgorithmMOJOParams
  111. def getNtrees(): Int

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

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

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    Definition Classes
    H2OMOJOPredictionOrdinal
  114. def getOrdinalPredictionSchema(): StructType

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    Definition Classes
    H2OMOJOPredictionOrdinal
  115. def getOrdinalPredictionUDF(): UserDefinedFunction

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

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    Definition Classes
    Params
  117. def getPredictionCol(): String

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

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    Definition Classes
    H2OMOJOPrediction
  119. def getPredictionSchema(): StructType

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    Definition Classes
    H2OMOJOPrediction
  120. def getPredictionUDF(): UserDefinedFunction

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

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    Definition Classes
    H2OMOJOPredictionRegression
  122. def getRegressionPredictionSchema(): StructType

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    Definition Classes
    H2OMOJOPredictionRegression
  123. def getRegressionPredictionUDF(): UserDefinedFunction

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

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

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  126. def getSampleSize(): Long

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  127. def getScoreEachIteration(): Boolean

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  128. def getScoreTreeInterval(): Int

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  129. def getScoringHistory(): DataFrame

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    Definition Classes
    H2OMOJOModel
  130. def getSeed(): Long

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  131. def getStageProbabilitiesSchema(model: EasyPredictModelWrapper): DataType

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

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  133. def getStoppingRounds(): Int

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  134. def getStoppingTolerance(): Double

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  135. 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
  136. 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
  137. def getTrainingParams(): Map[String, String]

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    Definition Classes
    H2OMOJOModel
  138. 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
  139. 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
  140. def getWithContributions(): Boolean

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    Definition Classes
    H2OAlgorithmMOJOParams
  141. def getWithDetailedPredictionCol(): Boolean

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

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    Definition Classes
    H2OAlgorithmMOJOParams
  143. def getWithStageResults(): Boolean

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

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  145. def getWordEmbeddingPredictionSchema(): StructType

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  146. def getWordEmbeddingPredictionUDF(): UserDefinedFunction

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

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

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    Params
  149. def hasParent: Boolean

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    Definition Classes
    Model
  150. def hashCode(): Int

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    Definition Classes
    AnyRef → Any
  151. val ignoreConstCols: BooleanParam

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    Attributes
    protected
  152. val ignoredCols: NullableStringArrayParam

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    Attributes
    protected
  153. def initializeLogIfNecessary(isInterpreter: Boolean): Unit

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

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

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

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

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    Params
  158. final def isInstanceOf[T0]: Boolean

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

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    Definition Classes
    Params
  160. def isTraceEnabled(): Boolean

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

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    Attributes
    protected
    Definition Classes
    H2OMOJOModelUtils
  162. def log: Logger

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

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

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

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

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

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

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    Definition Classes
    Logging
  169. def logName: String

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

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

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

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

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

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    Definition Classes
    ParameterConstructorMethods
  175. val maxDepth: IntParam

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    protected
  176. val maxRuntimeSecs: DoubleParam

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    Attributes
    protected
  177. val minRows: DoubleParam

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    Attributes
    protected
  178. final val modelCategory: NullableStringParam

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

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    Attributes
    protected
    Definition Classes
    H2OMOJOModel
  180. val mtries: IntParam

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

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

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

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

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    Definition Classes
    AnyRef
  185. final val ntrees: IntParam

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    Attributes
    protected
    Definition Classes
    H2OTreeBasedMOJOParams
  186. def nullableDataFrameParam(name: String, doc: String): NullableDataFrameParam

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    Attributes
    protected
    Definition Classes
    ParameterConstructorMethods
  187. def nullableDoubleArrayArrayParam(name: String, doc: String): NullableDoubleArrayArrayParam

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    Attributes
    protected
    Definition Classes
    ParameterConstructorMethods
  188. def nullableDoubleArrayParam(name: String, doc: String): NullableDoubleArrayParam

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

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

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

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

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

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

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  195. def outputColumnName: String

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

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

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

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

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    Attributes
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    H2OAlgorithmMOJOParams
  200. val sampleRate: DoubleParam

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    Attributes
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  201. val sampleSize: LongParam

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    Attributes
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  202. def save(path: String): Unit

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

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  204. val scoreTreeInterval: IntParam

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  205. final val scoringHistory: NullableDataFrameParam

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    H2OMOJOModel
  206. val seed: LongParam

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

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

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

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  210. final def setDefault(paramPairs: ParamPair[_]*): H2OIsolationForestMOJOModel.this.type

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

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

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

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

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

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    Definition Classes
    Model
  216. val stoppingMetric: NullableStringParam

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  217. val stoppingRounds: IntParam

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  218. val stoppingTolerance: DoubleParam

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

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    Definition Classes
    Transformer
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    @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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    H2OMOJOModel
  234. final val validationMetricsObject: NullableMetricsParam

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  235. final def wait(): Unit

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    @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 withDetailedPredictionCol: BooleanParam

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    H2OAlgorithmMOJOParams
  240. final val withLeafNodeAssignments: BooleanParam

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    H2OAlgorithmMOJOParams
  241. final val withStageResults: BooleanParam

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    H2OAlgorithmMOJOParams
  242. 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 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