Class/Object

ai.h2o.sparkling.ml.models

H2OCoxPHMOJOModel

Related Docs: object H2OCoxPHMOJOModel | package models

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class H2OCoxPHMOJOModel extends H2OSupervisedMOJOModel with ParameterConstructorMethods with Logging with HasIgnoredColsOnMOJO

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Inherited
  1. H2OCoxPHMOJOModel
  2. HasIgnoredColsOnMOJO
  3. ParameterConstructorMethods
  4. H2OSupervisedMOJOModel
  5. H2OSupervisedMOJOParams
  6. H2OAlgorithmMOJOModel
  7. H2OAlgorithmMOJOParams
  8. H2OMOJOPrediction
  9. H2OMOJOPredictionOrdinal
  10. H2OMOJOPredictionCoxPH
  11. H2OMOJOPredictionBinomial
  12. H2OMOJOPredictionClustering
  13. H2OMOJOPredictionDimReduction
  14. H2OMOJOPredictionMultinomial
  15. PredictionWithStageProbabilities
  16. H2OMOJOPredictionAnomaly
  17. H2OMOJOPredictionWordEmbedding
  18. H2OMOJOPredictionRegression
  19. PredictionWithContributions
  20. H2OMOJOModel
  21. HasFeatureTypesOnMOJO
  22. H2OBaseMOJOParams
  23. SpecificMOJOParameters
  24. H2OMOJOModelUtils
  25. Logging
  26. H2OMOJOWritable
  27. MLWritable
  28. HasMojo
  29. H2OMOJOFlattenedInput
  30. Model
  31. Transformer
  32. PipelineStage
  33. Logging
  34. Params
  35. Serializable
  36. Serializable
  37. Identifiable
  38. AnyRef
  39. Any
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Instance Constructors

  1. new H2OCoxPHMOJOModel(uid: String)

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Value Members

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

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

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

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

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

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

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    Attributes
    protected
    Definition Classes
    H2OSupervisedMOJOModelH2OMOJOModelH2OMOJOFlattenedInput
  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. final def clear(param: Param[_]): H2OCoxPHMOJOModel.this.type

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    Definition Classes
    Params
  10. def clone(): AnyRef

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    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  11. final val convertInvalidNumbersToNa: BooleanParam

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

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

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

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

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

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

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

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    Attributes
    protected
    Definition Classes
    H2OMOJOModel
  19. final def defaultCopy[T <: Params](extra: ParamMap): T

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

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

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

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

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

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

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    Definition Classes
    Params
  26. def explainParams(): String

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    Definition Classes
    Params
  27. val exportCheckpointsDir: NullableStringParam

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    Attributes
    protected
  28. def extractAnomalyPredictionColContent(): Column

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    Definition Classes
    H2OMOJOPredictionAnomaly
  29. def extractBinomialPredictionColContent(): Column

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    Definition Classes
    H2OMOJOPredictionBinomial
  30. def extractClusteringPredictionColContent(): Column

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    Definition Classes
    H2OMOJOPredictionClustering
  31. def extractCoxPHPredictionColContent(): Column

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

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

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  34. def extractFeatureImportances(outputJson: JsonObject): DataFrame

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

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

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

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

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

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    Definition Classes
    H2OMOJOPredictionMultinomial
  40. def extractOrdinalPredictionColContent(): Column

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

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

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

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

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    Definition Classes
    H2OMOJOPrediction
  45. def extractRegressionPredictionColContent(): Column

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

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

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  48. final val featureImportances: NullableDataFrameParam

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

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

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

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

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

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

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    Definition Classes
    H2OMOJOPredictionAnomaly
  55. def getAnomalyPredictionSchema(): StructType

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    Definition Classes
    H2OMOJOPredictionAnomaly
  56. def getAnomalyPredictionUDF(): UserDefinedFunction

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

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    Definition Classes
    H2OMOJOPredictionBinomial
  58. def getBinomialPredictionSchema(): StructType

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    Definition Classes
    H2OMOJOPredictionBinomial
  59. def getBinomialPredictionUDF(): UserDefinedFunction

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    Definition Classes
    H2OMOJOPredictionBinomial
  60. final def getClass(): Class[_]

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

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    Definition Classes
    H2OMOJOPredictionClustering
  62. def getClusteringPredictionSchema(): StructType

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    Definition Classes
    H2OMOJOPredictionClustering
  63. def getClusteringPredictionUDF(): UserDefinedFunction

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    Definition Classes
    H2OMOJOPredictionClustering
  64. def getContributionsSchema(model: EasyPredictModelWrapper): DataType

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

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    Definition Classes
    H2OBaseMOJOParams
  66. def getConvertUnknownCategoricalLevelsToNa(): Boolean

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

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    Definition Classes
    H2OMOJOPredictionCoxPH
  68. def getCoxPHPredictionSchema(): StructType

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    Definition Classes
    H2OMOJOPredictionCoxPH
  69. def getCoxPHPredictionUDF(): UserDefinedFunction

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    Definition Classes
    H2OMOJOPredictionCoxPH
  70. 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
  71. def getCrossValidationMetricsObject(): H2ORegressionCoxPHMetrics

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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
    H2OCoxPHMOJOModelH2OMOJOModel
  72. 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
  73. def getCrossValidationModels(): Seq[H2OCoxPHMOJOModel.this.type]

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    Definition Classes
    H2OMOJOModel
  74. 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
  75. 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
  76. final def getDefault[T](param: Param[T]): Option[T]

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    Definition Classes
    Params
  77. def getDetailedPredictionCol(): String

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

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

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  80. def getDimReductionPredictionSchema(): StructType

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  81. def getDimReductionPredictionUDF(): UserDefinedFunction

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

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    Definition Classes
    H2OMOJOModel
  83. def getExportCheckpointsDir(): String

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  84. def getFeatureImportances(): DataFrame

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

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

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    Definition Classes
    H2OAlgorithmMOJOParams
  87. def getIgnoredCols(): Array[String]

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    Definition Classes
    HasIgnoredColsOnMOJO
  88. def getInit(): Double

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  89. def getInteractions(): Array[String]

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  90. def getInteractionsOnly(): Array[String]

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  91. def getLabelCol(): String

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  92. def getLreMin(): Double

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  93. def getMaxIterations(): Int

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  94. def getModelCategory(): String

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    Definition Classes
    H2OMOJOModel
  95. def getModelDetails(): String

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

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

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    Attributes
    protected
    Definition Classes
    H2OMOJOModelUtils
  98. def getMultinomialPredictionColSchema(): Seq[StructField]

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    Definition Classes
    H2OMOJOPredictionMultinomial
  99. def getMultinomialPredictionSchema(): StructType

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    Definition Classes
    H2OMOJOPredictionMultinomial
  100. def getMultinomialPredictionUDF(): UserDefinedFunction

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    Definition Classes
    H2OMOJOPredictionMultinomial
  101. def getNamedMojoOutputColumns(): Boolean

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    Definition Classes
    H2OAlgorithmMOJOParams
  102. def getOffsetCol(): String

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

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

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    Definition Classes
    H2OMOJOPredictionOrdinal
  105. def getOrdinalPredictionSchema(): StructType

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    Definition Classes
    H2OMOJOPredictionOrdinal
  106. def getOrdinalPredictionUDF(): UserDefinedFunction

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

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    Definition Classes
    Params
  108. def getPredictionCol(): String

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

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    Definition Classes
    H2OMOJOPrediction
  110. def getPredictionSchema(): StructType

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    Definition Classes
    H2OMOJOPrediction
  111. def getPredictionUDF(): UserDefinedFunction

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

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    Definition Classes
    H2OMOJOPredictionRegression
  113. def getRegressionPredictionSchema(): StructType

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    Definition Classes
    H2OMOJOPredictionRegression
  114. def getRegressionPredictionUDF(): UserDefinedFunction

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

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    Attributes
    protected
    Definition Classes
    H2OMOJOFlattenedInput
  116. def getScoringHistory(): DataFrame

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    Definition Classes
    H2OMOJOModel
  117. def getSingleNodeMode(): Boolean

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  118. def getStageProbabilitiesSchema(model: EasyPredictModelWrapper): DataType

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    Attributes
    protected
    Definition Classes
    PredictionWithStageProbabilities
  119. def getStartCol(): String

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  120. def getStopCol(): String

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  121. def getStratifyBy(): Array[String]

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  122. def getTies(): String

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  123. 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
  124. def getTrainingMetricsObject(): H2ORegressionCoxPHMetrics

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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
    H2OCoxPHMOJOModelH2OMOJOModel
  125. def getTrainingParams(): Map[String, String]

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    Definition Classes
    H2OMOJOModel
  126. def getUseAllFactorLevels(): Boolean

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  127. 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
  128. def getValidationMetricsObject(): H2ORegressionCoxPHMetrics

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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
    H2OCoxPHMOJOModelH2OMOJOModel
  129. def getWeightCol(): String

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  130. def getWithContributions(): Boolean

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    Definition Classes
    H2OAlgorithmMOJOParams
  131. def getWithDetailedPredictionCol(): Boolean

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

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    Definition Classes
    H2OAlgorithmMOJOParams
  133. def getWithStageResults(): Boolean

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

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  135. def getWordEmbeddingPredictionSchema(): StructType

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  136. def getWordEmbeddingPredictionUDF(): UserDefinedFunction

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

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    Params
  138. def hasParam(paramName: String): Boolean

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    Definition Classes
    Params
  139. def hasParent: Boolean

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    Definition Classes
    Model
  140. def hashCode(): Int

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    Definition Classes
    AnyRef → Any
  141. val init: DoubleParam

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

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    Attributes
    protected
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    Logging
  143. def initializeLogIfNecessary(isInterpreter: Boolean): Unit

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

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

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    ParameterConstructorMethods
  146. def intParam(name: String, doc: String): IntParam

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  147. val interactions: NullableStringArrayParam

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    protected
  148. val interactionsOnly: NullableStringArrayParam

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

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    Params
  150. final def isInstanceOf[T0]: Boolean

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    Any
  151. final def isSet(param: Param[_]): Boolean

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  152. def isTraceEnabled(): Boolean

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

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    H2OMOJOModelUtils
  154. val labelCol: Param[String]

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    protected
  155. def log: Logger

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

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

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

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

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

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

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    Logging
  162. def logName: String

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

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

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

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

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

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    ParameterConstructorMethods
  168. val lreMin: DoubleParam

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  169. val maxIterations: IntParam

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  170. final val modelCategory: NullableStringParam

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

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    Attributes
    protected
    Definition Classes
    H2OMOJOModel
  172. final val namedMojoOutputColumns: Param[Boolean]

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

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    AnyRef
  174. final def notify(): Unit

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    AnyRef
  175. final def notifyAll(): Unit

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    AnyRef
  176. def nullableDataFrameParam(name: String, doc: String): NullableDataFrameParam

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  177. def nullableDoubleArrayArrayParam(name: String, doc: String): NullableDoubleArrayArrayParam

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

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

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

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

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    ParameterConstructorMethods
  182. def nullableStringArrayParam(name: String, doc: String): NullableStringArrayParam

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

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

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    Attributes
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  185. def outputColumnName: String

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

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

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

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

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    Attributes
    protected
    Definition Classes
    H2OAlgorithmMOJOParams
  190. def save(path: String): Unit

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    Definition Classes
    MLWritable
    Annotations
    @Since( "1.6.0" ) @throws( ... )
  191. final val scoringHistory: NullableDataFrameParam

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    Attributes
    protected
    Definition Classes
    H2OMOJOModel
  192. final def set(paramPair: ParamPair[_]): H2OCoxPHMOJOModel.this.type

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    Attributes
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    Params
  193. final def set(param: String, value: Any): H2OCoxPHMOJOModel.this.type

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    Attributes
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    Params
  194. final def set[T](param: Param[T], value: T): H2OCoxPHMOJOModel.this.type

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    Definition Classes
    Params
  195. final def setDefault(paramPairs: ParamPair[_]*): H2OCoxPHMOJOModel.this.type

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    Attributes
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    Params
  196. final def setDefault[T](param: Param[T], value: T): H2OCoxPHMOJOModel.this.type

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    Attributes
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    Params
  197. def setMojo(mojo: File): H2OCoxPHMOJOModel.this.type

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    Definition Classes
    HasMojo
  198. def setMojo(mojo: InputStream, mojoName: String): H2OCoxPHMOJOModel.this.type

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    Definition Classes
    HasMojo
  199. def setMojo(mojo: InputStream): H2OCoxPHMOJOModel.this.type

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

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    Definition Classes
    Model
  201. val singleNodeMode: BooleanParam

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    Attributes
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  202. val startCol: NullableStringParam

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  203. val stopCol: NullableStringParam

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  204. val stratifyBy: NullableStringArrayParam

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

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

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

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    Definition Classes
    AnyRef
  208. val ties: NullableStringParam

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  209. def toString(): String

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

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    H2OMOJOModel
  211. final val trainingMetricsObject: NullableMetricsParam

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    H2OMOJOModel
  212. final val trainingParams: MapStringStringParam

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

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

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    Definition Classes
    Transformer
    Annotations
    @Since( "2.0.0" )
  215. 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()
  216. def transformSchema(schema: StructType): StructType

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

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    PipelineStage
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    @DeveloperApi()
  218. val uid: String

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    Definition Classes
    H2OCoxPHMOJOModelH2OSupervisedMOJOModelH2OAlgorithmMOJOModel → Identifiable
  219. 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
  220. val useAllFactorLevels: BooleanParam

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  221. final val validationMetrics: MapStringDoubleParam

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    H2OMOJOModel
  222. final val validationMetricsObject: NullableMetricsParam

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    H2OMOJOModel
  223. final def wait(): Unit

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

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

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    @throws( ... )
  226. val weightCol: NullableStringParam

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  227. final val withContributions: BooleanParam

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    H2OAlgorithmMOJOParams
  228. final val withDetailedPredictionCol: BooleanParam

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    H2OAlgorithmMOJOParams
  229. final val withLeafNodeAssignments: BooleanParam

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    Attributes
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    H2OAlgorithmMOJOParams
  230. final val withStageResults: BooleanParam

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    Attributes
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    H2OAlgorithmMOJOParams
  231. def write: MLWriter

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    Definition Classes
    H2OMOJOWritable → MLWritable

Inherited from HasIgnoredColsOnMOJO

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 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