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
  1. Public
  2. All

Instance Constructors

  1. new H2OCoxPHMOJOModel(uid: String)

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Type Members

  1. class SerializationWarningsObject extends Serializable

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    Definition Classes
    H2OMOJOModel

Value Members

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

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

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

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

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

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

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    Attributes
    protected
    Definition Classes
    H2OSupervisedMOJOModelH2OMOJOModelH2OMOJOFlattenedInput
  7. final def asInstanceOf[T0]: T0

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    Definition Classes
    Any
  8. 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. var crossValidationModelsScoringHistory: NullableDataFrameArrayParam

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

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

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

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

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

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

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

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

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

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

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    Definition Classes
    Params
  30. def explainParams(): String

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    Definition Classes
    Params
  31. val exportCheckpointsDir: NullableStringParam

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    Attributes
    protected
  32. def extractAnomalyPredictionColContent(): Column

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    Definition Classes
    H2OMOJOPredictionAnomaly
  33. def extractBinomialPredictionColContent(): Column

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    Definition Classes
    H2OMOJOPredictionBinomial
  34. def extractClusteringPredictionColContent(): Column

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    Definition Classes
    H2OMOJOPredictionClustering
  35. def extractCoxPHPredictionColContent(): Column

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

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

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  38. def extractFeatureImportances(outputJson: JsonObject): DataFrame

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

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

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

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

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

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

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

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

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    Definition Classes
    H2OMOJOPredictionMultinomial
  47. def extractOrdinalPredictionColContent(): Column

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

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

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

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

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    Definition Classes
    H2OMOJOPrediction
  52. def extractRegressionPredictionColContent(): Column

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

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

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  55. final val featureImportances: NullableDataFrameParam

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

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

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

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

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

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

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    Definition Classes
    H2OMOJOPredictionAnomaly
  62. def getAnomalyPredictionSchema(): StructType

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

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

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    Definition Classes
    H2OMOJOPredictionBinomial
  65. def getBinomialPredictionSchema(): StructType

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

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

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

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    Definition Classes
    H2OMOJOPredictionClustering
  69. def getClusteringPredictionSchema(): StructType

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

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

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

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    Definition Classes
    H2OBaseMOJOParams
  73. def getConvertUnknownCategoricalLevelsToNa(): Boolean

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

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    Definition Classes
    H2OMOJOPredictionCoxPH
  75. def getCoxPHPredictionSchema(): StructType

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

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    Definition Classes
    H2OMOJOPredictionCoxPH
  77. 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
  78. 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
  79. 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
  80. def getCrossValidationModels(): Seq[H2OCoxPHMOJOModel.this.type]

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

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    Definition Classes
    H2OMOJOModel
  82. 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
  83. 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
  84. def getDataFrameSerializer(): String

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

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    Definition Classes
    Params
  86. def getDefaultThreshold(): Double

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    Definition Classes
    H2OMOJOModel
  87. def getDetailedPredictionCol(): String

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

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

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  90. def getDimReductionPredictionSchema(): StructType

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

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

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    Definition Classes
    H2OMOJOModel
  93. def getEndTime(): Long

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    Definition Classes
    H2OMOJOModel
  94. def getExportCheckpointsDir(): String

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  95. def getFeatureImportances(): DataFrame

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

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

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

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    Definition Classes
    HasIgnoredColsOnMOJO
  99. def getInit(): Double

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  100. def getInteractions(): Array[String]

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  101. def getInteractionsOnly(): Array[String]

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  102. def getLabelCol(): String

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  103. def getLreMin(): Double

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  104. def getMaxIterations(): Int

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  105. def getModelCategory(): String

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    Definition Classes
    H2OMOJOModel
  106. def getModelDetails(): String

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

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

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

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    Definition Classes
    H2OMOJOModel
  110. def getMultinomialPredictionColSchema(): Seq[StructField]

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    Definition Classes
    H2OMOJOPredictionMultinomial
  111. def getMultinomialPredictionSchema(): StructType

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

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    Definition Classes
    H2OMOJOPredictionMultinomial
  113. def getNamedMojoOutputColumns(): Boolean

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    Definition Classes
    H2OAlgorithmMOJOParams
    Annotations
    @DeprecatedMethod( x$2 , x$1 )
  114. def getOffsetCol(): String

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

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

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    Definition Classes
    H2OMOJOPredictionOrdinal
  117. def getOrdinalPredictionSchema(): StructType

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

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

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    Definition Classes
    Params
  120. def getPredictionCol(): String

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

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    Definition Classes
    H2OMOJOPrediction
  122. def getPredictionSchema(): StructType

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    Definition Classes
    H2OMOJOPrediction
  123. def getPredictionUDF(): UserDefinedFunction

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

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    Definition Classes
    H2OMOJOPredictionRegression
  125. def getRegressionPredictionSchema(): StructType

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

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

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

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    Definition Classes
    H2OMOJOModel
  129. def getScoringHistory(): DataFrame

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    Definition Classes
    H2OMOJOModel
  130. def getSingleNodeMode(): Boolean

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  131. def getStageProbabilitiesSchema(model: EasyPredictModelWrapper): DataType

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

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  133. def getStartTime(): Long

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    Definition Classes
    H2OMOJOModel
  134. def getStopCol(): String

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  135. def getStratifyBy(): Array[String]

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  136. def getTies(): String

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  137. 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
  138. 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
  139. def getTrainingParams(): Map[String, String]

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    Definition Classes
    H2OMOJOModel
  140. def getUseAllFactorLevels(): Boolean

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  141. 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
  142. 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
  143. def getWeightCol(): String

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  144. def getWithContributions(): Boolean

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    Definition Classes
    H2OAlgorithmMOJOParams
  145. def getWithLeafNodeAssignments(): Boolean

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    Definition Classes
    H2OAlgorithmMOJOParams
  146. def getWithStageResults(): Boolean

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

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  148. def getWordEmbeddingPredictionSchema(): StructType

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

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

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

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    Definition Classes
    Params
  152. def hasParent: Boolean

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    Definition Classes
    Model
  153. def hashCode(): Int

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    Definition Classes
    AnyRef → Any
  154. val init: DoubleParam

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

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

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

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

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

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    Attributes
    protected
    Definition Classes
    ParameterConstructorMethods
  160. val interactions: NullableStringArrayParam

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    Attributes
    protected
  161. val interactionsOnly: NullableStringArrayParam

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

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

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

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    Definition Classes
    Params
  165. def isTraceEnabled(): Boolean

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

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

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

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    Attributes
    protected
  169. def log: Logger

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

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

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

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

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

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    Attributes
    protected
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    Logging
  175. def logInfo(msg: ⇒ String): Unit

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    Attributes
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    Logging
  176. def logName: String

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    Attributes
    protected
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    Logging
  177. def logTrace(msg: ⇒ String, throwable: Throwable): Unit

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

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

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

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

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    ParameterConstructorMethods
  182. val lreMin: DoubleParam

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    Attributes
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  183. val maxIterations: IntParam

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  184. final val modelCategory: NullableStringParam

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    Attributes
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    H2OMOJOModel
  185. final val modelDetails: NullableStringParam

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    Attributes
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    H2OMOJOModel
  186. final val modelSummary: NullableDataFrameParam

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    Attributes
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    H2OMOJOModel
  187. final val namedMojoOutputColumns: Param[Boolean]

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

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    Definition Classes
    AnyRef
  189. val nonSerializableField: AnyRef

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

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

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    Definition Classes
    AnyRef
  192. def nullableDataFrameParam(name: String, doc: String): NullableDataFrameParam

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

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

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

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

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    Attributes
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  197. def nullableStringArrayArrayParam(name: String, doc: String): NullableStringArrayArrayParam

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

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

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

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    Attributes
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  201. def outputColumnName: String

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

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

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

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

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    Attributes
    protected
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    H2OAlgorithmMOJOParams
  206. final val runTime: LongParam

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    Attributes
    protected
    Definition Classes
    H2OMOJOModel
  207. def save(path: String): Unit

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

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

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

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

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

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

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

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

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

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

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

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    Definition Classes
    Model
  219. val singleNodeMode: BooleanParam

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  220. val startCol: NullableStringParam

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  221. final val startTime: LongParam

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    H2OMOJOModel
  222. val stopCol: NullableStringParam

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  223. val stratifyBy: NullableStringArrayParam

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

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

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

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    AnyRef
  227. val ties: NullableStringParam

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  228. def toString(): String

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

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    H2OMOJOModel
  230. final val trainingMetricsObject: NullableMetricsParam

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    H2OMOJOModel
  231. final val trainingParams: MapStringStringParam

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

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

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

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

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

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    @DeveloperApi()
  237. val uid: String

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    Definition Classes
    H2OCoxPHMOJOModelH2OSupervisedMOJOModelH2OAlgorithmMOJOModel → Identifiable
  238. 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
  239. val useAllFactorLevels: BooleanParam

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  240. final val validationMetrics: MapStringDoubleParam

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    H2OMOJOModel
  241. final val validationMetricsObject: NullableMetricsParam

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    H2OMOJOModel
  242. final def wait(): Unit

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

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

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

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  246. final val withContributions: BooleanParam

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    H2OAlgorithmMOJOParams
  247. final val withLeafNodeAssignments: BooleanParam

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    H2OAlgorithmMOJOParams
  248. final val withStageResults: BooleanParam

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    Attributes
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    H2OAlgorithmMOJOParams
  249. 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