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 with HasIgnoredColsOnMOJO

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

  1. new H2OIsolationForestMOJOModel(uid: String)

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Type Members

  1. class SerializationWarningsObject extends Serializable

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    Definition Classes
    H2OMOJOModel

Value Members

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

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

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

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

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

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

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    Attributes
    protected
    Definition Classes
    H2OMOJOModelH2OMOJOFlattenedInput
  7. final def asInstanceOf[T0]: T0

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

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    Attributes
    protected
    Definition Classes
    ParameterConstructorMethods
  9. val 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. final val coefficients: NullableDataFrameParam

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    Attributes
    protected
    Definition Classes
    H2OMOJOModel
  14. val colSampleRateChangePerLevel: DoubleParam

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    Attributes
    protected
  15. val colSampleRatePerTree: DoubleParam

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    Attributes
    protected
  16. val contamination: DoubleParam

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    Attributes
    protected
  17. final val convertInvalidNumbersToNa: BooleanParam

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

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

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

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

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

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

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

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    Attributes
    protected
    Definition Classes
    H2OMOJOModel
  25. var crossValidationModelsScoringHistory: NullableDataFrameArrayParam

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

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

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

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

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

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

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

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

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

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

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    Definition Classes
    Params
  36. def explainParams(): String

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    Definition Classes
    Params
  37. val exportCheckpointsDir: NullableStringParam

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    Attributes
    protected
  38. def extractAnomalyPredictionColContent(): Column

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    Definition Classes
    H2OMOJOPredictionAnomaly
  39. def extractBinomialPredictionColContent(): Column

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    Definition Classes
    H2OMOJOPredictionBinomial
  40. def extractClusteringPredictionColContent(): Column

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

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

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

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

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  45. def extractFeatureImportances(outputJson: JsonObject): DataFrame

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

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

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

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

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

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

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

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

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    Definition Classes
    H2OMOJOPredictionMultinomial
  54. def extractOrdinalPredictionColContent(): Column

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

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

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

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

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    Definition Classes
    H2OMOJOPrediction
  59. def extractRegressionPredictionColContent(): Column

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

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

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  62. final val featureImportances: NullableDataFrameParam

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

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

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

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

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

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

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    Definition Classes
    H2OMOJOPredictionAnomaly
  69. def getAnomalyPredictionSchema(): StructType

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

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

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    Definition Classes
    H2OMOJOPredictionBinomial
  72. def getBinomialPredictionSchema(): StructType

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

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    Definition Classes
    H2OMOJOPredictionBinomial
  74. def getBuildTreeOneNode(): Boolean

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  75. def getCategoricalEncoding(): String

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

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

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    Definition Classes
    H2OMOJOPredictionClustering
  78. def getClusteringPredictionSchema(): StructType

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

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    Definition Classes
    H2OMOJOPredictionClustering
  80. def getCoefficients(): DataFrame

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    Definition Classes
    H2OMOJOModel
  81. def getColSampleRateChangePerLevel(): Double

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  82. def getColSampleRatePerTree(): Double

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  83. def getContamination(): Double

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  84. def getContributionsSchema(model: EasyPredictModelWrapper): DataType

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

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    Definition Classes
    H2OBaseMOJOParams
  86. def getConvertUnknownCategoricalLevelsToNa(): Boolean

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

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    Definition Classes
    H2OMOJOPredictionCoxPH
  88. def getCoxPHPredictionSchema(): StructType

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

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    Definition Classes
    H2OMOJOPredictionCoxPH
  90. 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
  91. 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
  92. 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
  93. def getCrossValidationModels(): Seq[H2OIsolationForestMOJOModel.this.type]

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

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    Definition Classes
    H2OMOJOModel
  95. 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
  96. 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
  97. def getDataFrameSerializer(): String

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

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    Definition Classes
    Params
  99. def getDefaultThreshold(): Double

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    Definition Classes
    H2OMOJOModel
  100. def getDetailedPredictionCol(): String

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

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

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  103. def getDimReductionPredictionSchema(): StructType

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

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

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    Definition Classes
    H2OMOJOModel
  106. def getEndTime(): Long

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    Definition Classes
    H2OMOJOModel
  107. def getExportCheckpointsDir(): String

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  108. def getFeatureImportances(): DataFrame

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

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

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    Definition Classes
    H2OAlgorithmMOJOParams
  111. def getIgnoreConstCols(): Boolean

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  112. def getIgnoredCols(): Array[String]

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    Definition Classes
    HasIgnoredColsOnMOJO
  113. def getMaxDepth(): Int

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  114. def getMaxRuntimeSecs(): Double

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  115. def getMinRows(): Double

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  116. def getModelCategory(): String

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    Definition Classes
    H2OMOJOModel
  117. def getModelDetails(): String

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

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

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

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    Definition Classes
    H2OMOJOModel
  121. def getMtries(): Int

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  122. def getMultinomialPredictionColSchema(): Seq[StructField]

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    Definition Classes
    H2OMOJOPredictionMultinomial
  123. def getMultinomialPredictionSchema(): StructType

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

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    Definition Classes
    H2OMOJOPredictionMultinomial
  125. def getNamedMojoOutputColumns(): Boolean

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

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

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

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    Definition Classes
    H2OMOJOPredictionOrdinal
  129. def getOrdinalPredictionSchema(): StructType

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

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

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    Definition Classes
    Params
  132. def getPredictionCol(): String

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

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    Definition Classes
    H2OMOJOPrediction
  134. def getPredictionSchema(): StructType

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    Definition Classes
    H2OMOJOPrediction
  135. def getPredictionUDF(): UserDefinedFunction

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

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    Definition Classes
    H2OMOJOPredictionRegression
  137. def getRegressionPredictionSchema(): StructType

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

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

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

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    Definition Classes
    H2OMOJOModel
  141. def getSampleRate(): Double

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  142. def getSampleSize(): Long

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  143. def getScoreEachIteration(): Boolean

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  144. def getScoreTreeInterval(): Int

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  145. def getScoringHistory(): DataFrame

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    Definition Classes
    H2OMOJOModel
  146. def getSeed(): Long

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  147. def getStageProbabilitiesSchema(model: EasyPredictModelWrapper): DataType

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

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    Definition Classes
    H2OMOJOModel
  149. def getStoppingMetric(): String

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  150. def getStoppingRounds(): Int

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  151. def getStoppingTolerance(): Double

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  152. 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
  153. 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
  154. def getTrainingParams(): Map[String, String]

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    Definition Classes
    H2OMOJOModel
  155. 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
  156. 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
  157. def getVariableSplits(): DataFrame

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  158. def getWithContributions(): Boolean

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    Definition Classes
    H2OAlgorithmMOJOParams
  159. def getWithLeafNodeAssignments(): Boolean

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    Definition Classes
    H2OAlgorithmMOJOParams
  160. def getWithStageResults(): Boolean

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

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  162. def getWordEmbeddingPredictionSchema(): StructType

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

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

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

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    Definition Classes
    Params
  166. def hasParent: Boolean

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    Definition Classes
    Model
  167. def hashCode(): Int

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    Definition Classes
    AnyRef → Any
  168. val ignoreConstCols: BooleanParam

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

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

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

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

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

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

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

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

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    Definition Classes
    Params
  177. def isTraceEnabled(): Boolean

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    Attributes
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    Logging
  178. def jsonFieldToDataFrame(outputJson: JsonObject, fieldName: String): DataFrame

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  179. def jsonFieldToDoubleArray(outputJson: JsonObject, fieldName: String): Array[Double]

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  180. def log: Logger

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

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  182. def logDebug(msg: ⇒ String): Unit

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

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  184. def logError(msg: ⇒ String): Unit

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

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    Logging
  186. def logInfo(msg: ⇒ String): Unit

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    Logging
  187. def logName: String

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

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

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

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

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

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  193. val maxDepth: IntParam

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  194. val maxRuntimeSecs: DoubleParam

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  195. val minRows: DoubleParam

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  196. final val modelCategory: NullableStringParam

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    H2OMOJOModel
  197. final val modelDetails: NullableStringParam

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    H2OMOJOModel
  198. final val modelSummary: NullableDataFrameParam

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    H2OMOJOModel
  199. val mtries: IntParam

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    Attributes
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  200. final val namedMojoOutputColumns: Param[Boolean]

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

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    Definition Classes
    AnyRef
  202. def nestedJsonFieldToDataFrame(outputJson: JsonObject, parentFieldName: String, fieldName: String): DataFrame

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    H2OMOJOModelUtils
  203. val nonSerializableField: AnyRef

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

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  205. final def notifyAll(): Unit

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  206. final val ntrees: IntParam

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

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

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

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

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

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

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

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

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

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

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  217. def outputColumnName: String

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

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

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    Params
  220. var parent: Estimator[H2OMOJOModel]

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

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    H2OAlgorithmMOJOParams
  222. final val runTime: LongParam

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    H2OMOJOModel
  223. val sampleRate: DoubleParam

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  224. val sampleSize: LongParam

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  225. def save(path: String): Unit

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

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  227. val scoreTreeInterval: IntParam

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  228. final val scoringHistory: NullableDataFrameParam

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    H2OMOJOModel
  229. val seed: LongParam

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

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

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

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

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

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

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

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

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

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

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    Definition Classes
    Model
  240. final val startTime: LongParam

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    H2OMOJOModel
  241. val stoppingMetric: NullableStringParam

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  242. val stoppingRounds: IntParam

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  243. val stoppingTolerance: DoubleParam

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

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

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

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  247. def toString(): String

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

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    H2OMOJOModel
  249. final val trainingMetricsObject: NullableMetricsParam

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    H2OMOJOModel
  250. final val trainingParams: MapStringStringParam

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

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

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    Definition Classes
    Transformer
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    @Since( "2.0.0" )
  253. 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()
  254. def transformSchema(schema: StructType): StructType

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

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    @DeveloperApi()
  256. val uid: String

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  257. 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
  258. final val validationMetrics: MapStringDoubleParam

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  259. final val validationMetricsObject: NullableMetricsParam

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  260. val variableSplits: NullableDataFrameParam

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  261. final def wait(): Unit

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

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

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

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    H2OAlgorithmMOJOParams
  265. final val withLeafNodeAssignments: BooleanParam

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    H2OAlgorithmMOJOParams
  266. final val withStageResults: BooleanParam

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    H2OAlgorithmMOJOParams
  267. def write: MLWriter

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    Definition Classes
    H2OMOJOWritable → MLWritable

Inherited from HasIgnoredColsOnMOJO

Inherited from H2OTreeBasedMOJOParams

Inherited from H2OUnsupervisedMOJOModel

Inherited from H2OAlgorithmMOJOModel

Inherited from H2OAlgorithmMOJOParams

Inherited from H2OMOJOPrediction

Inherited from H2OMOJOPredictionOrdinal

Inherited from H2OMOJOPredictionCoxPH

Inherited from H2OMOJOPredictionBinomial

Inherited from H2OMOJOPredictionAnomaly

Inherited from H2OMOJOModel

Inherited from HasFeatureTypesOnMOJO

Inherited from H2OBaseMOJOParams

Inherited from HasDataFrameSerializer

Inherited from SpecificMOJOParameters

Inherited from H2OMOJOModelUtils

Inherited from Logging

Inherited from H2OMOJOWritable

Inherited from MLWritable

Inherited from HasMojo

Inherited from H2OMOJOFlattenedInput

Inherited from Model[H2OMOJOModel]

Inherited from Transformer

Inherited from PipelineStage

Inherited from Logging

Inherited from Params

Inherited from Serializable

Inherited from Serializable

Inherited from Identifiable

Inherited from AnyRef

Inherited from Any

Ungrouped