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. var crossValidationModelsScoringHistory: NullableDataFrameArrayParam

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

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

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

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

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

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

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

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

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

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

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    Definition Classes
    Params
  35. def explainParams(): String

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    Definition Classes
    Params
  36. val exportCheckpointsDir: NullableStringParam

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    Attributes
    protected
  37. def extractAnomalyPredictionColContent(): Column

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    Definition Classes
    H2OMOJOPredictionAnomaly
  38. def extractBinomialPredictionColContent(): Column

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    Definition Classes
    H2OMOJOPredictionBinomial
  39. def extractClusteringPredictionColContent(): Column

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    Definition Classes
    H2OMOJOPredictionClustering
  40. def extractCoxPHPredictionColContent(): Column

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

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

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  43. def extractFeatureImportances(outputJson: JsonObject): DataFrame

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

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

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

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

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

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

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

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

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    Definition Classes
    H2OMOJOPredictionMultinomial
  52. def extractOrdinalPredictionColContent(): Column

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

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

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

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

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    Definition Classes
    H2OMOJOPrediction
  57. def extractRegressionPredictionColContent(): Column

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

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

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  60. final val featureImportances: NullableDataFrameParam

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

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

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

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

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

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

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    Definition Classes
    H2OMOJOPredictionAnomaly
  67. def getAnomalyPredictionSchema(): StructType

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

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

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    Definition Classes
    H2OMOJOPredictionBinomial
  70. def getBinomialPredictionSchema(): StructType

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

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    Definition Classes
    H2OMOJOPredictionBinomial
  72. def getBuildTreeOneNode(): Boolean

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  73. def getCategoricalEncoding(): String

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

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

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    Definition Classes
    H2OMOJOPredictionClustering
  76. def getClusteringPredictionSchema(): StructType

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

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    Definition Classes
    H2OMOJOPredictionClustering
  78. def getColSampleRateChangePerLevel(): Double

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  79. def getColSampleRatePerTree(): Double

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  80. def getContamination(): Double

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  81. def getContributionsSchema(model: EasyPredictModelWrapper): DataType

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

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    Definition Classes
    H2OBaseMOJOParams
  83. def getConvertUnknownCategoricalLevelsToNa(): Boolean

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

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    Definition Classes
    H2OMOJOPredictionCoxPH
  85. def getCoxPHPredictionSchema(): StructType

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

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    Definition Classes
    H2OMOJOPredictionCoxPH
  87. 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
  88. 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
  89. 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
  90. def getCrossValidationModels(): Seq[H2OIsolationForestMOJOModel.this.type]

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

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    Definition Classes
    H2OMOJOModel
  92. 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
  93. 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
  94. def getDataFrameSerializer(): String

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

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    Definition Classes
    Params
  96. def getDefaultThreshold(): Double

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    Definition Classes
    H2OMOJOModel
  97. def getDetailedPredictionCol(): String

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

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

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  100. def getDimReductionPredictionSchema(): StructType

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

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

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    Definition Classes
    H2OMOJOModel
  103. def getEndTime(): Long

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    Definition Classes
    H2OMOJOModel
  104. def getExportCheckpointsDir(): String

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  105. def getFeatureImportances(): DataFrame

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

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

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    Definition Classes
    H2OAlgorithmMOJOParams
  108. def getIgnoreConstCols(): Boolean

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  109. def getIgnoredCols(): Array[String]

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  110. def getMaxDepth(): Int

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  111. def getMaxRuntimeSecs(): Double

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  112. def getMinRows(): Double

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  113. def getModelCategory(): String

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    Definition Classes
    H2OMOJOModel
  114. def getModelDetails(): String

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

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

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

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    Definition Classes
    H2OMOJOModel
  118. def getMtries(): Int

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  119. def getMultinomialPredictionColSchema(): Seq[StructField]

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    Definition Classes
    H2OMOJOPredictionMultinomial
  120. def getMultinomialPredictionSchema(): StructType

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

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    Definition Classes
    H2OMOJOPredictionMultinomial
  122. def getNamedMojoOutputColumns(): Boolean

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    Definition Classes
    H2OAlgorithmMOJOParams
    Annotations
    @DeprecatedMethod( x$2 , x$1 )
  123. def getNtrees(): Int

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

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

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    Definition Classes
    H2OMOJOPredictionOrdinal
  126. def getOrdinalPredictionSchema(): StructType

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

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

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    Definition Classes
    Params
  129. def getPredictionCol(): String

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

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    Definition Classes
    H2OMOJOPrediction
  131. def getPredictionSchema(): StructType

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    Definition Classes
    H2OMOJOPrediction
  132. def getPredictionUDF(): UserDefinedFunction

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

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    Definition Classes
    H2OMOJOPredictionRegression
  134. def getRegressionPredictionSchema(): StructType

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

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

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

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    Definition Classes
    H2OMOJOModel
  138. def getSampleRate(): Double

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  139. def getSampleSize(): Long

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  140. def getScoreEachIteration(): Boolean

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  141. def getScoreTreeInterval(): Int

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  142. def getScoringHistory(): DataFrame

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    Definition Classes
    H2OMOJOModel
  143. def getSeed(): Long

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  144. def getStageProbabilitiesSchema(model: EasyPredictModelWrapper): DataType

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

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    Definition Classes
    H2OMOJOModel
  146. def getStoppingMetric(): String

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  147. def getStoppingRounds(): Int

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  148. def getStoppingTolerance(): Double

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  149. 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
  150. 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
  151. def getTrainingParams(): Map[String, String]

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    Definition Classes
    H2OMOJOModel
  152. 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
  153. 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
  154. def getVariableSplits(): DataFrame

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  155. def getWithContributions(): Boolean

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    Definition Classes
    H2OAlgorithmMOJOParams
  156. def getWithLeafNodeAssignments(): Boolean

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    Definition Classes
    H2OAlgorithmMOJOParams
  157. def getWithStageResults(): Boolean

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

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  159. def getWordEmbeddingPredictionSchema(): StructType

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

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

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

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    Definition Classes
    Params
  163. def hasParent: Boolean

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    Definition Classes
    Model
  164. def hashCode(): Int

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    Definition Classes
    AnyRef → Any
  165. val ignoreConstCols: BooleanParam

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    Attributes
    protected
  166. val ignoredCols: NullableStringArrayParam

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

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

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

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

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

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

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

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

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    Definition Classes
    Params
  175. def isTraceEnabled(): Boolean

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

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

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    Attributes
    protected
    Definition Classes
    H2OMOJOModelUtils
  178. def log: Logger

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

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

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

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    Attributes
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    Logging
  182. def logError(msg: ⇒ String): Unit

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

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

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    Logging
  185. def logName: String

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

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

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

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

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  190. def longParam(name: String, doc: String): LongParam

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  191. val maxDepth: IntParam

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  192. val maxRuntimeSecs: DoubleParam

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  193. val minRows: DoubleParam

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  194. final val modelCategory: NullableStringParam

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    Definition Classes
    H2OMOJOModel
  195. final val modelDetails: NullableStringParam

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    Attributes
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    H2OMOJOModel
  196. final val modelSummary: NullableDataFrameParam

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    Attributes
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    H2OMOJOModel
  197. val mtries: IntParam

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    Attributes
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  198. final val namedMojoOutputColumns: Param[Boolean]

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

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    Definition Classes
    AnyRef
  200. val nonSerializableField: AnyRef

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

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    AnyRef
  202. final def notifyAll(): Unit

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    Definition Classes
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  203. final val ntrees: IntParam

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

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

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

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

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

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

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

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

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

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  213. def outputColumnName: String

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

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

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

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

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    Attributes
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    H2OAlgorithmMOJOParams
  218. final val runTime: LongParam

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    H2OMOJOModel
  219. val sampleRate: DoubleParam

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  220. val sampleSize: LongParam

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

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

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  223. val scoreTreeInterval: IntParam

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  224. final val scoringHistory: NullableDataFrameParam

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    H2OMOJOModel
  225. val seed: LongParam

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

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

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

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

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

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

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

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

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

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

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    Definition Classes
    Model
  236. final val startTime: LongParam

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    H2OMOJOModel
  237. val stoppingMetric: NullableStringParam

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  238. val stoppingRounds: IntParam

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  239. val stoppingTolerance: DoubleParam

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

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

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

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  243. def toString(): String

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    Definition Classes
    H2OMOJOModel → Identifiable → AnyRef → Any
  244. final val trainingMetrics: MapStringDoubleParam

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    H2OMOJOModel
  245. final val trainingMetricsObject: NullableMetricsParam

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    H2OMOJOModel
  246. final val trainingParams: MapStringStringParam

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

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

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    Definition Classes
    Transformer
    Annotations
    @Since( "2.0.0" )
  249. 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()
  250. def transformSchema(schema: StructType): StructType

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

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    @DeveloperApi()
  252. val uid: String

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  253. 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
  254. final val validationMetrics: MapStringDoubleParam

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    H2OMOJOModel
  255. final val validationMetricsObject: NullableMetricsParam

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  256. val variableSplits: NullableDataFrameParam

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  257. final def wait(): Unit

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

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

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

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    H2OAlgorithmMOJOParams
  261. final val withLeafNodeAssignments: BooleanParam

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    H2OAlgorithmMOJOParams
  262. final val withStageResults: BooleanParam

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    H2OAlgorithmMOJOParams
  263. 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