Class/Object

ai.h2o.sparkling.ml.models

H2ODRFMOJOModel

Related Docs: object H2ODRFMOJOModel | package models

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class H2ODRFMOJOModel extends H2OTreeBasedSupervisedMOJOModel with ParameterConstructorMethods with Logging with HasIgnoredColsOnMOJO

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Inherited
  1. H2ODRFMOJOModel
  2. HasIgnoredColsOnMOJO
  3. ParameterConstructorMethods
  4. H2OTreeBasedSupervisedMOJOModel
  5. H2OTreeBasedMOJOParams
  6. H2OSupervisedMOJOModel
  7. H2OSupervisedMOJOParams
  8. H2OAlgorithmMOJOModel
  9. H2OAlgorithmMOJOParams
  10. H2OMOJOPrediction
  11. H2OMOJOPredictionOrdinal
  12. H2OMOJOPredictionCoxPH
  13. H2OMOJOPredictionBinomial
  14. H2OMOJOPredictionClustering
  15. H2OMOJOPredictionDimReduction
  16. H2OMOJOPredictionMultinomial
  17. PredictionWithStageProbabilities
  18. H2OMOJOPredictionAnomaly
  19. H2OMOJOPredictionWordEmbedding
  20. H2OMOJOPredictionRegression
  21. PredictionWithContributions
  22. H2OMOJOModel
  23. HasFeatureTypesOnMOJO
  24. H2OBaseMOJOParams
  25. HasDataFrameSerializer
  26. SpecificMOJOParameters
  27. H2OMOJOModelUtils
  28. Logging
  29. H2OMOJOWritable
  30. MLWritable
  31. HasMojo
  32. H2OMOJOFlattenedInput
  33. Model
  34. Transformer
  35. PipelineStage
  36. Logging
  37. Params
  38. Serializable
  39. Serializable
  40. Identifiable
  41. AnyRef
  42. Any
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Visibility
  1. Public
  2. All

Instance Constructors

  1. new H2ODRFMOJOModel(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
    H2OSupervisedMOJOModelH2OMOJOModelH2OMOJOFlattenedInput
  7. final def asInstanceOf[T0]: T0

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    Definition Classes
    Any
  8. val aucType: NullableStringParam

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    Attributes
    protected
  9. val balanceClasses: BooleanParam

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    Attributes
    protected
  10. val binomialDoubleTrees: BooleanParam

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    Attributes
    protected
  11. def booleanParam(name: String, doc: String): BooleanParam

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    Attributes
    protected
    Definition Classes
    ParameterConstructorMethods
  12. val buildTreeOneNode: BooleanParam

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    Attributes
    protected
  13. val calibrateModel: BooleanParam

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    Attributes
    protected
  14. val calibrationMethod: NullableStringParam

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    Attributes
    protected
  15. val categoricalEncoding: NullableStringParam

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    Attributes
    protected
  16. val checkConstantResponse: BooleanParam

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    Attributes
    protected
  17. val classSamplingFactors: NullableFloatArrayParam

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    Attributes
    protected
  18. final def clear(param: Param[_]): H2ODRFMOJOModel.this.type

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    Definition Classes
    Params
  19. def clone(): AnyRef

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

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    Attributes
    protected
    Definition Classes
    H2OMOJOModel
  21. val colSampleRateChangePerLevel: DoubleParam

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    Attributes
    protected
  22. val colSampleRatePerTree: DoubleParam

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    Attributes
    protected
  23. final val convertInvalidNumbersToNa: BooleanParam

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

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

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

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

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

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

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

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    Attributes
    protected
    Definition Classes
    H2OMOJOModel
  31. var crossValidationModelsScoringHistory: NullableDataFrameArrayParam

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    Attributes
    protected
    Definition Classes
    H2OMOJOModel
  32. val customMetricFunc: NullableStringParam

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    Attributes
    protected
  33. final val dataFrameSerializer: Param[String]

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

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

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

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    Attributes
    protected
    Definition Classes
    H2OAlgorithmMOJOParams
  37. val distribution: NullableStringParam

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    Attributes
    protected
  38. def doubleArrayParam(name: String, doc: String): DoubleArrayParam

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

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

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

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

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

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    Definition Classes
    Params
  44. def explainParams(): String

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    Definition Classes
    Params
  45. val exportCheckpointsDir: NullableStringParam

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    Attributes
    protected
  46. def extractAnomalyPredictionColContent(): Column

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    Definition Classes
    H2OMOJOPredictionAnomaly
  47. def extractBinomialPredictionColContent(): Column

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    Definition Classes
    H2OMOJOPredictionBinomial
  48. def extractClusteringPredictionColContent(): Column

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

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

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

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

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  53. def extractFeatureImportances(outputJson: JsonObject): DataFrame

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

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

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

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

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

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

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

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

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    Definition Classes
    H2OMOJOPredictionMultinomial
  62. def extractOrdinalPredictionColContent(): Column

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

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

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

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

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    Definition Classes
    H2OMOJOPrediction
  67. def extractRegressionPredictionColContent(): Column

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

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

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  70. final val featureImportances: NullableDataFrameParam

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

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

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

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

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    Attributes
    protected
    Definition Classes
    ParameterConstructorMethods
  75. val foldAssignment: NullableStringParam

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    Attributes
    protected
  76. val foldCol: NullableStringParam

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    Attributes
    protected
  77. val gainsliftBins: IntParam

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    Attributes
    protected
  78. final def get[T](param: Param[T]): Option[T]

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

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    Definition Classes
    H2OMOJOPredictionAnomaly
  80. def getAnomalyPredictionSchema(): StructType

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

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    Definition Classes
    H2OMOJOPredictionAnomaly
  82. def getAucType(): String

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  83. def getBalanceClasses(): Boolean

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  84. def getBinomialDoubleTrees(): Boolean

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  85. def getBinomialPredictionColSchema(): Seq[StructField]

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    Definition Classes
    H2OMOJOPredictionBinomial
  86. def getBinomialPredictionSchema(): StructType

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

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    Definition Classes
    H2OMOJOPredictionBinomial
  88. def getBuildTreeOneNode(): Boolean

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  89. def getCalibrateModel(): Boolean

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  90. def getCalibrationMethod(): String

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  91. def getCategoricalEncoding(): String

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  92. def getCheckConstantResponse(): Boolean

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

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    Definition Classes
    AnyRef → Any
  94. def getClassSamplingFactors(): Array[Float]

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  95. def getClusteringPredictionColSchema(): Seq[StructField]

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    Definition Classes
    H2OMOJOPredictionClustering
  96. def getClusteringPredictionSchema(): StructType

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

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    Definition Classes
    H2OMOJOPredictionClustering
  98. def getCoefficients(): DataFrame

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    Definition Classes
    H2OMOJOModel
  99. def getColSampleRateChangePerLevel(): Double

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  100. def getColSampleRatePerTree(): Double

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  101. def getContributionsSchema(model: EasyPredictModelWrapper): DataType

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

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    Definition Classes
    H2OBaseMOJOParams
  103. def getConvertUnknownCategoricalLevelsToNa(): Boolean

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

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    Definition Classes
    H2OMOJOPredictionCoxPH
  105. def getCoxPHPredictionSchema(): StructType

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

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    Definition Classes
    H2OMOJOPredictionCoxPH
  107. 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
  108. def getCrossValidationMetricsObject(): H2OMetrics

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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
    H2OMOJOModel
  109. 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
  110. def getCrossValidationModels(): Seq[H2ODRFMOJOModel.this.type]

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

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    Definition Classes
    H2OMOJOModel
  112. 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
  113. 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
  114. def getCustomMetricFunc(): String

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  115. def getDataFrameSerializer(): String

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

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    Definition Classes
    Params
  117. def getDefaultThreshold(): Double

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    Definition Classes
    H2OMOJOModel
  118. def getDetailedPredictionCol(): String

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

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

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  121. def getDimReductionPredictionSchema(): StructType

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

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  123. def getDistribution(): String

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

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    Definition Classes
    H2OMOJOModel
  125. def getEndTime(): Long

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    Definition Classes
    H2OMOJOModel
  126. def getExportCheckpointsDir(): String

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  127. def getFeatureImportances(): DataFrame

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

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

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    Definition Classes
    H2OAlgorithmMOJOParams
  130. def getFoldAssignment(): String

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  131. def getFoldCol(): String

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  132. def getGainsliftBins(): Int

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  133. def getHistogramType(): String

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  134. def getIgnoreConstCols(): Boolean

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  135. def getIgnoredCols(): Array[String]

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    Definition Classes
    HasIgnoredColsOnMOJO
  136. def getKeepCrossValidationFoldAssignment(): Boolean

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  137. def getKeepCrossValidationModels(): Boolean

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  138. def getKeepCrossValidationPredictions(): Boolean

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  139. def getLabelCol(): String

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  140. def getMaxAfterBalanceSize(): Float

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  141. def getMaxConfusionMatrixSize(): Int

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  142. def getMaxDepth(): Int

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  143. def getMaxRuntimeSecs(): Double

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  144. def getMinRows(): Double

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  145. def getMinSplitImprovement(): Double

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  146. def getModelCategory(): String

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    Definition Classes
    H2OMOJOModel
  147. def getModelDetails(): String

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

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

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

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    Definition Classes
    H2OMOJOModel
  151. def getMtries(): Int

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  152. def getMultinomialPredictionColSchema(): Seq[StructField]

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    Definition Classes
    H2OMOJOPredictionMultinomial
  153. def getMultinomialPredictionSchema(): StructType

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

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    Definition Classes
    H2OMOJOPredictionMultinomial
  155. def getNbins(): Int

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  156. def getNbinsCats(): Int

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  157. def getNbinsTopLevel(): Int

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  158. def getNfolds(): Int

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  159. def getNtrees(): Int

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    Definition Classes
    H2OTreeBasedMOJOParams
  160. def getOffsetCol(): String

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    Definition Classes
    H2OSupervisedMOJOParams
  161. final def getOrDefault[T](param: Param[T]): T

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

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    Definition Classes
    H2OMOJOPredictionOrdinal
  163. def getOrdinalPredictionSchema(): StructType

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

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

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    Definition Classes
    Params
  166. def getPredictionCol(): String

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

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    Definition Classes
    H2OMOJOPrediction
  168. def getPredictionSchema(): StructType

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    Definition Classes
    H2OMOJOPrediction
  169. def getPredictionUDF(): UserDefinedFunction

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

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    Definition Classes
    H2OMOJOPredictionRegression
  171. def getRegressionPredictionSchema(): StructType

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

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

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

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    Definition Classes
    H2OMOJOModel
  175. def getSampleRate(): Double

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  176. def getSampleRatePerClass(): Array[Double]

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  177. def getScoreEachIteration(): Boolean

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  178. def getScoreTreeInterval(): Int

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  179. def getScoringHistory(): DataFrame

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    Definition Classes
    H2OMOJOModel
  180. def getSeed(): Long

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  181. def getStageProbabilitiesSchema(model: EasyPredictModelWrapper): DataType

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

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    Definition Classes
    H2OMOJOModel
  183. def getStoppingMetric(): String

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  184. def getStoppingRounds(): Int

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  185. def getStoppingTolerance(): Double

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  186. 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
  187. def getTrainingMetricsObject(): H2OMetrics

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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
    H2OMOJOModel
  188. def getTrainingParams(): Map[String, String]

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    Definition Classes
    H2OMOJOModel
  189. 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
  190. def getValidationMetricsObject(): H2OMetrics

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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
    H2OMOJOModel
  191. def getWeightCol(): String

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  192. def getWithContributions(): Boolean

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    Definition Classes
    H2OAlgorithmMOJOParams
  193. def getWithLeafNodeAssignments(): Boolean

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    Definition Classes
    H2OAlgorithmMOJOParams
  194. def getWithStageResults(): Boolean

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

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  196. def getWordEmbeddingPredictionSchema(): StructType

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

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

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

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    Definition Classes
    Params
  200. def hasParent: Boolean

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    Definition Classes
    Model
  201. def hashCode(): Int

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    Definition Classes
    AnyRef → Any
  202. val histogramType: NullableStringParam

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    Attributes
    protected
  203. val ignoreConstCols: BooleanParam

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    Attributes
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  204. def initializeLogIfNecessary(isInterpreter: Boolean, silent: Boolean): Boolean

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    Attributes
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    Logging
  205. def initializeLogIfNecessary(isInterpreter: Boolean): Unit

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    Attributes
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    Logging
  206. def inputColumnNames: Array[String]

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    Attributes
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    H2OAlgorithmMOJOModelH2OMOJOFlattenedInput
  207. def intArrayParam(name: String, doc: String): IntArrayParam

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  208. def intParam(name: String, doc: String): IntParam

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

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  210. final def isInstanceOf[T0]: Boolean

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

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    Definition Classes
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  212. def isTraceEnabled(): Boolean

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

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    H2OMOJOModelUtils
  214. def jsonFieldToDoubleArray(outputJson: JsonObject, fieldName: String): Array[Double]

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    H2OMOJOModelUtils
  215. val keepCrossValidationFoldAssignment: BooleanParam

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  216. val keepCrossValidationModels: BooleanParam

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  217. val keepCrossValidationPredictions: BooleanParam

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  218. val labelCol: Param[String]

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  219. def log: Logger

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

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

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

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    Logging
  223. def logError(msg: ⇒ String): Unit

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

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

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    Logging
  226. def logName: String

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

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

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

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

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

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  232. val maxAfterBalanceSize: FloatParam

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  233. val maxConfusionMatrixSize: IntParam

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  234. val maxDepth: IntParam

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  235. val maxRuntimeSecs: DoubleParam

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  236. val minRows: DoubleParam

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  237. val minSplitImprovement: DoubleParam

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  238. final val modelCategory: NullableStringParam

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    H2OMOJOModel
  239. final val modelDetails: NullableStringParam

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    H2OMOJOModel
  240. final val modelSummary: NullableDataFrameParam

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    H2OMOJOModel
  241. val mtries: IntParam

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  242. val nbins: IntParam

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  243. val nbinsCats: IntParam

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  244. val nbinsTopLevel: IntParam

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  245. final def ne(arg0: AnyRef): Boolean

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

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    Attributes
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    H2OMOJOModelUtils
  247. val nfolds: IntParam

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  248. val nonSerializableField: AnyRef

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

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  250. final def notifyAll(): Unit

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    AnyRef
  251. final val ntrees: IntParam

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

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

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

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

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

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

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

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

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

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

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  262. def outputColumnName: String

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

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

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

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

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    Attributes
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    H2OAlgorithmMOJOParams
  267. final val runTime: LongParam

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    H2OMOJOModel
  268. val sampleRate: DoubleParam

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  269. val sampleRatePerClass: NullableDoubleArrayParam

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

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

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  272. val scoreTreeInterval: IntParam

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  273. final val scoringHistory: NullableDataFrameParam

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    H2OMOJOModel
  274. val seed: LongParam

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  275. final def set(paramPair: ParamPair[_]): H2ODRFMOJOModel.this.type

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  276. final def set(param: String, value: Any): H2ODRFMOJOModel.this.type

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  277. final def set[T](param: Param[T], value: T): H2ODRFMOJOModel.this.type

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    Definition Classes
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  278. def setDataFrameSerializer(fullClassName: String): H2ODRFMOJOModel.this.type

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    Definition Classes
    H2OBaseMOJOParams
  279. final def setDefault(paramPairs: ParamPair[_]*): H2ODRFMOJOModel.this.type

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  280. final def setDefault[T](param: Param[T], value: T): H2ODRFMOJOModel.this.type

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    Attributes
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  281. def setMojo(mojo: File): H2ODRFMOJOModel.this.type

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    Definition Classes
    HasMojo
  282. def setMojo(mojo: InputStream, mojoName: String): H2ODRFMOJOModel.this.type

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    Definition Classes
    HasMojo
  283. def setMojo(mojo: InputStream): H2ODRFMOJOModel.this.type

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

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    Definition Classes
    Model
  285. final val startTime: LongParam

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    H2OMOJOModel
  286. val stoppingMetric: NullableStringParam

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  287. val stoppingRounds: IntParam

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  288. val stoppingTolerance: DoubleParam

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

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

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

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    Definition Classes
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  292. def toString(): String

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

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    H2OMOJOModel
  294. final val trainingMetricsObject: NullableMetricsParam

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    H2OMOJOModel
  295. final val trainingParams: MapStringStringParam

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    Attributes
    protected
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    H2OMOJOModel
  296. def transform(dataset: Dataset[_]): DataFrame

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

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    Definition Classes
    Transformer
    Annotations
    @Since( "2.0.0" )
  298. def transform(dataset: Dataset[_], firstParamPair: ParamPair[_], otherParamPairs: ParamPair[_]*): DataFrame

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

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    Definition Classes
    H2OSupervisedMOJOModelH2OAlgorithmMOJOModel → PipelineStage
    Annotations
    @DeveloperApi()
  300. def transformSchema(schema: StructType, logging: Boolean): StructType

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    Attributes
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    PipelineStage
    Annotations
    @DeveloperApi()
  301. val uid: String

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  302. 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
  303. final val validationMetrics: MapStringDoubleParam

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    H2OMOJOModel
  304. final val validationMetricsObject: NullableMetricsParam

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    H2OMOJOModel
  305. final def wait(): Unit

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

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

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    Annotations
    @throws( ... )
  308. val weightCol: NullableStringParam

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    Attributes
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  309. final val withContributions: BooleanParam

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    H2OAlgorithmMOJOParams
  310. final val withLeafNodeAssignments: BooleanParam

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    Attributes
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    H2OAlgorithmMOJOParams
  311. final val withStageResults: BooleanParam

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    Attributes
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    H2OAlgorithmMOJOParams
  312. def write: MLWriter

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    Definition Classes
    H2OMOJOWritable → MLWritable

Inherited from HasIgnoredColsOnMOJO

Inherited from H2OTreeBasedMOJOParams

Inherited from H2OSupervisedMOJOModel

Inherited from H2OSupervisedMOJOParams

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