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 defaultThreshold: DoubleParam

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

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

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

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

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

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

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

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    Definition Classes
    Params
  29. def explainParams(): String

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    Definition Classes
    Params
  30. val exportCheckpointsDir: NullableStringParam

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    Attributes
    protected
  31. def extractAnomalyPredictionColContent(): Column

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    Definition Classes
    H2OMOJOPredictionAnomaly
  32. def extractBinomialPredictionColContent(): Column

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    Definition Classes
    H2OMOJOPredictionBinomial
  33. def extractClusteringPredictionColContent(): Column

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    Definition Classes
    H2OMOJOPredictionClustering
  34. def extractCoxPHPredictionColContent(): Column

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

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

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  37. def extractFeatureImportances(outputJson: JsonObject): DataFrame

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

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

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

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

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

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

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    Definition Classes
    H2OMOJOPredictionMultinomial
  44. def extractOrdinalPredictionColContent(): Column

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

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

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

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

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    Definition Classes
    H2OMOJOPrediction
  49. def extractRegressionPredictionColContent(): Column

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

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

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  52. final val featureImportances: NullableDataFrameParam

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

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

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

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

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

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

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    Definition Classes
    H2OMOJOPredictionAnomaly
  59. def getAnomalyPredictionSchema(): StructType

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    Definition Classes
    H2OMOJOPredictionAnomaly
  60. def getAnomalyPredictionUDF(): UserDefinedFunction

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

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    Definition Classes
    H2OMOJOPredictionBinomial
  62. def getBinomialPredictionSchema(): StructType

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    Definition Classes
    H2OMOJOPredictionBinomial
  63. def getBinomialPredictionUDF(): UserDefinedFunction

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

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

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    Definition Classes
    H2OMOJOPredictionClustering
  66. def getClusteringPredictionSchema(): StructType

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    Definition Classes
    H2OMOJOPredictionClustering
  67. def getClusteringPredictionUDF(): UserDefinedFunction

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

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

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    Definition Classes
    H2OBaseMOJOParams
  70. def getConvertUnknownCategoricalLevelsToNa(): Boolean

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

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    Definition Classes
    H2OMOJOPredictionCoxPH
  72. def getCoxPHPredictionSchema(): StructType

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    Definition Classes
    H2OMOJOPredictionCoxPH
  73. def getCoxPHPredictionUDF(): UserDefinedFunction

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    Definition Classes
    H2OMOJOPredictionCoxPH
  74. 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
  75. 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
  76. 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
  77. def getCrossValidationModels(): Seq[H2OCoxPHMOJOModel.this.type]

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    Definition Classes
    H2OMOJOModel
  78. 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
  79. 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
  80. def getDataFrameSerializer(): String

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

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    Definition Classes
    Params
  82. def getDefaultThreshold(): Double

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    Definition Classes
    H2OMOJOModel
  83. def getDetailedPredictionCol(): String

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

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

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  86. def getDimReductionPredictionSchema(): StructType

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  87. def getDimReductionPredictionUDF(): UserDefinedFunction

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

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    Definition Classes
    H2OMOJOModel
  89. def getEndTime(): Long

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    Definition Classes
    H2OMOJOModel
  90. def getExportCheckpointsDir(): String

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  91. def getFeatureImportances(): DataFrame

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

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

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

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    Definition Classes
    HasIgnoredColsOnMOJO
  95. def getInit(): Double

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  96. def getInteractions(): Array[String]

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  97. def getInteractionsOnly(): Array[String]

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  98. def getLabelCol(): String

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  99. def getLreMin(): Double

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  100. def getMaxIterations(): Int

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  101. def getModelCategory(): String

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    Definition Classes
    H2OMOJOModel
  102. def getModelDetails(): String

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

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

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

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    Definition Classes
    H2OMOJOPredictionMultinomial
  106. def getMultinomialPredictionSchema(): StructType

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    Definition Classes
    H2OMOJOPredictionMultinomial
  107. def getMultinomialPredictionUDF(): UserDefinedFunction

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    Definition Classes
    H2OMOJOPredictionMultinomial
  108. def getNamedMojoOutputColumns(): Boolean

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    Definition Classes
    H2OAlgorithmMOJOParams
  109. def getOffsetCol(): String

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

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

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    Definition Classes
    H2OMOJOPredictionOrdinal
  112. def getOrdinalPredictionSchema(): StructType

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    Definition Classes
    H2OMOJOPredictionOrdinal
  113. def getOrdinalPredictionUDF(): UserDefinedFunction

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

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    Definition Classes
    Params
  115. def getPredictionCol(): String

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

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    Definition Classes
    H2OMOJOPrediction
  117. def getPredictionSchema(): StructType

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    Definition Classes
    H2OMOJOPrediction
  118. def getPredictionUDF(): UserDefinedFunction

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

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    Definition Classes
    H2OMOJOPredictionRegression
  120. def getRegressionPredictionSchema(): StructType

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    Definition Classes
    H2OMOJOPredictionRegression
  121. def getRegressionPredictionUDF(): UserDefinedFunction

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

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

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    Definition Classes
    H2OMOJOModel
  124. def getScoringHistory(): DataFrame

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    Definition Classes
    H2OMOJOModel
  125. def getSingleNodeMode(): Boolean

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  126. def getStageProbabilitiesSchema(model: EasyPredictModelWrapper): DataType

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

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  128. def getStartTime(): Long

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    Definition Classes
    H2OMOJOModel
  129. def getStopCol(): String

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  130. def getStratifyBy(): Array[String]

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  131. def getTies(): String

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  132. 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
  133. 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
  134. def getTrainingParams(): Map[String, String]

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    Definition Classes
    H2OMOJOModel
  135. def getUseAllFactorLevels(): Boolean

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  136. 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
  137. 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
  138. def getWeightCol(): String

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  139. def getWithContributions(): Boolean

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    Definition Classes
    H2OAlgorithmMOJOParams
  140. def getWithLeafNodeAssignments(): Boolean

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    Definition Classes
    H2OAlgorithmMOJOParams
  141. def getWithStageResults(): Boolean

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

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  143. def getWordEmbeddingPredictionSchema(): StructType

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  144. def getWordEmbeddingPredictionUDF(): UserDefinedFunction

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

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

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    Definition Classes
    Params
  147. def hasParent: Boolean

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    Definition Classes
    Model
  148. def hashCode(): Int

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    Definition Classes
    AnyRef → Any
  149. val init: DoubleParam

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

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

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

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

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

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    ParameterConstructorMethods
  155. val interactions: NullableStringArrayParam

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    protected
  156. val interactionsOnly: NullableStringArrayParam

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

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

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

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    Definition Classes
    Params
  160. def isTraceEnabled(): Boolean

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

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

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    Attributes
    protected
    Definition Classes
    H2OMOJOModelUtils
  163. val labelCol: Param[String]

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    Attributes
    protected
  164. def log: Logger

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

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    Attributes
    protected
    Definition Classes
    Logging
  166. def logDebug(msg: ⇒ String): Unit

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

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    Attributes
    protected
    Definition Classes
    Logging
  168. def logError(msg: ⇒ String): Unit

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

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    Attributes
    protected
    Definition Classes
    Logging
  170. def logInfo(msg: ⇒ String): Unit

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    Definition Classes
    Logging
  171. def logName: String

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    protected
    Definition Classes
    Logging
  172. def logTrace(msg: ⇒ String, throwable: Throwable): Unit

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    Attributes
    protected
    Definition Classes
    Logging
  173. def logTrace(msg: ⇒ String): Unit

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

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    Attributes
    protected
    Definition Classes
    Logging
  175. def logWarning(msg: ⇒ String): Unit

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    Attributes
    protected
    Definition Classes
    Logging
  176. def longParam(name: String, doc: String): LongParam

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    Attributes
    protected
    Definition Classes
    ParameterConstructorMethods
  177. val lreMin: DoubleParam

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    Attributes
    protected
  178. val maxIterations: IntParam

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    Attributes
    protected
  179. final val modelCategory: NullableStringParam

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

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

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

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    Definition Classes
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  183. final def notify(): Unit

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  184. final def notifyAll(): Unit

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

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

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    Attributes
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  187. def nullableDoubleArrayParam(name: String, doc: String): NullableDoubleArrayParam

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    Attributes
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  188. def nullableFloatArrayParam(name: String, doc: String): NullableFloatArrayParam

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

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

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    Attributes
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  191. def nullableStringArrayParam(name: String, doc: String): NullableStringArrayParam

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

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

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  194. def outputColumnName: String

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

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

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    Definition Classes
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  197. var parent: Estimator[H2OMOJOModel]

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

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    Attributes
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    H2OAlgorithmMOJOParams
  199. final val runTime: LongParam

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    Attributes
    protected
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    H2OMOJOModel
  200. def save(path: String): Unit

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

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    Attributes
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    H2OMOJOModel
  202. final def set(paramPair: ParamPair[_]): H2OCoxPHMOJOModel.this.type

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

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

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

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

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

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  208. def setMojo(mojo: File): H2OCoxPHMOJOModel.this.type

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

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

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

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    Definition Classes
    Model
  212. val singleNodeMode: BooleanParam

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  213. val startCol: NullableStringParam

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  214. final val startTime: LongParam

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    H2OMOJOModel
  215. val stopCol: NullableStringParam

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  216. val stratifyBy: NullableStringArrayParam

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

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

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

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  220. val ties: NullableStringParam

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  221. def toString(): String

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    Identifiable → AnyRef → Any
  222. final val trainingMetrics: MapStringDoubleParam

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    H2OMOJOModel
  223. final val trainingMetricsObject: NullableMetricsParam

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  224. final val trainingParams: MapStringStringParam

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

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

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

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    Transformer
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    @Since( "2.0.0" ) @varargs()
  228. def transformSchema(schema: StructType): StructType

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

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    @DeveloperApi()
  230. val uid: String

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    Definition Classes
    H2OCoxPHMOJOModelH2OSupervisedMOJOModelH2OAlgorithmMOJOModel → Identifiable
  231. 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
  232. val useAllFactorLevels: BooleanParam

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  233. final val validationMetrics: MapStringDoubleParam

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    H2OMOJOModel
  234. final val validationMetricsObject: NullableMetricsParam

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    H2OMOJOModel
  235. final def wait(): Unit

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

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  237. final def wait(arg0: Long): Unit

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  238. val weightCol: NullableStringParam

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  239. final val withContributions: BooleanParam

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    H2OAlgorithmMOJOParams
  240. final val withLeafNodeAssignments: BooleanParam

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    H2OAlgorithmMOJOParams
  241. final val withStageResults: BooleanParam

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  242. 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