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. HasDataFrameSerializer
  24. SpecificMOJOParameters
  25. H2OMOJOModelUtils
  26. Logging
  27. H2OMOJOWritable
  28. MLWritable
  29. HasMojo
  30. H2OMOJOFlattenedInput
  31. Model
  32. Transformer
  33. PipelineStage
  34. Logging
  35. Params
  36. Serializable
  37. Serializable
  38. Identifiable
  39. AnyRef
  40. Any
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Visibility
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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 val dataFrameSerializer: Param[String]

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

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

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

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

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

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

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

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    Definition Classes
    Params
  27. def explainParams(): String

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    Definition Classes
    Params
  28. val exportCheckpointsDir: NullableStringParam

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    Attributes
    protected
  29. def extractAnomalyPredictionColContent(): Column

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    Definition Classes
    H2OMOJOPredictionAnomaly
  30. def extractBinomialPredictionColContent(): Column

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    Definition Classes
    H2OMOJOPredictionBinomial
  31. def extractClusteringPredictionColContent(): Column

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    Definition Classes
    H2OMOJOPredictionClustering
  32. def extractCoxPHPredictionColContent(): Column

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

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

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  35. def extractFeatureImportances(outputJson: JsonObject): DataFrame

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

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

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

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

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

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    Definition Classes
    H2OMOJOPredictionMultinomial
  41. def extractOrdinalPredictionColContent(): Column

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

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

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

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

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    Definition Classes
    H2OMOJOPrediction
  46. def extractRegressionPredictionColContent(): Column

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

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

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  49. final val featureImportances: NullableDataFrameParam

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

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

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

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

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

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

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    Definition Classes
    H2OMOJOPredictionAnomaly
  56. def getAnomalyPredictionSchema(): StructType

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    Definition Classes
    H2OMOJOPredictionAnomaly
  57. def getAnomalyPredictionUDF(): UserDefinedFunction

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

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    Definition Classes
    H2OMOJOPredictionBinomial
  59. def getBinomialPredictionSchema(): StructType

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    Definition Classes
    H2OMOJOPredictionBinomial
  60. def getBinomialPredictionUDF(): UserDefinedFunction

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

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

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    Definition Classes
    H2OMOJOPredictionClustering
  63. def getClusteringPredictionSchema(): StructType

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    Definition Classes
    H2OMOJOPredictionClustering
  64. def getClusteringPredictionUDF(): UserDefinedFunction

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

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

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    Definition Classes
    H2OBaseMOJOParams
  67. def getConvertUnknownCategoricalLevelsToNa(): Boolean

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

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    Definition Classes
    H2OMOJOPredictionCoxPH
  69. def getCoxPHPredictionSchema(): StructType

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    Definition Classes
    H2OMOJOPredictionCoxPH
  70. def getCoxPHPredictionUDF(): UserDefinedFunction

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    Definition Classes
    H2OMOJOPredictionCoxPH
  71. 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
  72. 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
  73. 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
  74. def getCrossValidationModels(): Seq[H2OCoxPHMOJOModel.this.type]

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    Definition Classes
    H2OMOJOModel
  75. 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
  76. 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
  77. def getDataFrameSerializer(): String

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

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    Definition Classes
    Params
  79. def getDetailedPredictionCol(): String

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

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

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  82. def getDimReductionPredictionSchema(): StructType

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  83. def getDimReductionPredictionUDF(): UserDefinedFunction

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

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    Definition Classes
    H2OMOJOModel
  85. def getExportCheckpointsDir(): String

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  86. def getFeatureImportances(): DataFrame

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

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

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

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    Definition Classes
    HasIgnoredColsOnMOJO
  90. def getInit(): Double

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  91. def getInteractions(): Array[String]

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  92. def getInteractionsOnly(): Array[String]

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  93. def getLabelCol(): String

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  94. def getLreMin(): Double

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  95. def getMaxIterations(): Int

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  96. def getModelCategory(): String

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    Definition Classes
    H2OMOJOModel
  97. def getModelDetails(): String

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

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

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

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    Definition Classes
    H2OMOJOPredictionMultinomial
  101. def getMultinomialPredictionSchema(): StructType

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    Definition Classes
    H2OMOJOPredictionMultinomial
  102. def getMultinomialPredictionUDF(): UserDefinedFunction

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    Definition Classes
    H2OMOJOPredictionMultinomial
  103. def getNamedMojoOutputColumns(): Boolean

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    Definition Classes
    H2OAlgorithmMOJOParams
  104. def getOffsetCol(): String

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

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

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    Definition Classes
    H2OMOJOPredictionOrdinal
  107. def getOrdinalPredictionSchema(): StructType

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    Definition Classes
    H2OMOJOPredictionOrdinal
  108. def getOrdinalPredictionUDF(): UserDefinedFunction

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

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    Definition Classes
    Params
  110. def getPredictionCol(): String

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

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    Definition Classes
    H2OMOJOPrediction
  112. def getPredictionSchema(): StructType

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    Definition Classes
    H2OMOJOPrediction
  113. def getPredictionUDF(): UserDefinedFunction

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

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    Definition Classes
    H2OMOJOPredictionRegression
  115. def getRegressionPredictionSchema(): StructType

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    Definition Classes
    H2OMOJOPredictionRegression
  116. def getRegressionPredictionUDF(): UserDefinedFunction

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

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

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    Definition Classes
    H2OMOJOModel
  119. def getSingleNodeMode(): Boolean

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  120. def getStageProbabilitiesSchema(model: EasyPredictModelWrapper): DataType

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

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  122. def getStopCol(): String

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  123. def getStratifyBy(): Array[String]

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  124. def getTies(): String

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  125. 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
  126. 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
  127. def getTrainingParams(): Map[String, String]

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    Definition Classes
    H2OMOJOModel
  128. def getUseAllFactorLevels(): Boolean

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  129. 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
  130. 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
  131. def getWeightCol(): String

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  132. def getWithContributions(): Boolean

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    Definition Classes
    H2OAlgorithmMOJOParams
  133. def getWithDetailedPredictionCol(): Boolean

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

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    Definition Classes
    H2OAlgorithmMOJOParams
  135. def getWithStageResults(): Boolean

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

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  137. def getWordEmbeddingPredictionSchema(): StructType

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  138. def getWordEmbeddingPredictionUDF(): UserDefinedFunction

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

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

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    Params
  141. def hasParent: Boolean

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    Definition Classes
    Model
  142. def hashCode(): Int

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    Definition Classes
    AnyRef → Any
  143. val init: DoubleParam

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

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

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

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

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    ParameterConstructorMethods
  148. val interactions: NullableStringArrayParam

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  149. val interactionsOnly: NullableStringArrayParam

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

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    Params
  151. final def isInstanceOf[T0]: Boolean

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

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    Params
  153. def isTraceEnabled(): Boolean

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

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    Definition Classes
    H2OMOJOModelUtils
  155. val labelCol: Param[String]

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    protected
  156. def log: Logger

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

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

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

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

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

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

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    Logging
  163. def logName: String

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

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

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

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

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    Definition Classes
    Logging
  168. def longParam(name: String, doc: String): LongParam

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    ParameterConstructorMethods
  169. val lreMin: DoubleParam

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    protected
  170. val maxIterations: IntParam

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    Attributes
    protected
  171. final val modelCategory: NullableStringParam

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

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

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

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

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

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

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

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

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

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

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    Definition Classes
    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
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    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. def setDataFrameSerializer(fullClassName: String): H2OCoxPHMOJOModel.this.type

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    Definition Classes
    H2OBaseMOJOParams
  196. final def setDefault(paramPairs: ParamPair[_]*): H2OCoxPHMOJOModel.this.type

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

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

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

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

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

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    Definition Classes
    Model
  202. val singleNodeMode: BooleanParam

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    Attributes
    protected
  203. val startCol: NullableStringParam

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  204. val stopCol: NullableStringParam

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  205. val stratifyBy: NullableStringArrayParam

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

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

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

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    Definition Classes
    AnyRef
  209. val ties: NullableStringParam

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  210. def toString(): String

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

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    Attributes
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    H2OMOJOModel
  212. final val trainingMetricsObject: NullableMetricsParam

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    H2OMOJOModel
  213. final val trainingParams: MapStringStringParam

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

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

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

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

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

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    PipelineStage
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    @DeveloperApi()
  219. val uid: String

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

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  222. final val validationMetrics: MapStringDoubleParam

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    H2OMOJOModel
  223. final val validationMetricsObject: NullableMetricsParam

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    H2OMOJOModel
  224. final def wait(): Unit

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

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

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

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  228. final val withContributions: BooleanParam

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    Attributes
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    H2OAlgorithmMOJOParams
  229. final val withDetailedPredictionCol: BooleanParam

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    H2OAlgorithmMOJOParams
  230. final val withLeafNodeAssignments: BooleanParam

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    Attributes
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    H2OAlgorithmMOJOParams
  231. final val withStageResults: BooleanParam

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    Attributes
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    H2OAlgorithmMOJOParams
  232. 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 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