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 coefficients: NullableDataFrameParam

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    Attributes
    protected
    Definition Classes
    H2OMOJOModel
  12. final val convertInvalidNumbersToNa: BooleanParam

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

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

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

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

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

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

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

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    Attributes
    protected
    Definition Classes
    H2OMOJOModel
  20. var crossValidationModelsScoringHistory: NullableDataFrameArrayParam

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

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

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

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

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

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

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

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

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

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

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    Definition Classes
    Params
  31. def explainParams(): String

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    Definition Classes
    Params
  32. val exportCheckpointsDir: NullableStringParam

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    Attributes
    protected
  33. def extractAnomalyPredictionColContent(): Column

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    Definition Classes
    H2OMOJOPredictionAnomaly
  34. def extractBinomialPredictionColContent(): Column

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    Definition Classes
    H2OMOJOPredictionBinomial
  35. def extractClusteringPredictionColContent(): Column

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

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

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

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

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  40. def extractFeatureImportances(outputJson: JsonObject): DataFrame

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

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

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

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

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

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

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

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

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    Definition Classes
    H2OMOJOPredictionMultinomial
  49. def extractOrdinalPredictionColContent(): Column

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

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

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

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

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    Definition Classes
    H2OMOJOPrediction
  54. def extractRegressionPredictionColContent(): Column

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

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

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  57. final val featureImportances: NullableDataFrameParam

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

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

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

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

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

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

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    Definition Classes
    H2OMOJOPredictionAnomaly
  64. def getAnomalyPredictionSchema(): StructType

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

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

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    Definition Classes
    H2OMOJOPredictionBinomial
  67. def getBinomialPredictionSchema(): StructType

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

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

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

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    Definition Classes
    H2OMOJOPredictionClustering
  71. def getClusteringPredictionSchema(): StructType

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

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    Definition Classes
    H2OMOJOPredictionClustering
  73. def getCoefficients(): DataFrame

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    Definition Classes
    H2OMOJOModel
  74. def getContributionsSchema(model: EasyPredictModelWrapper): DataType

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

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    Definition Classes
    H2OBaseMOJOParams
  76. def getConvertUnknownCategoricalLevelsToNa(): Boolean

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

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    Definition Classes
    H2OMOJOPredictionCoxPH
  78. def getCoxPHPredictionSchema(): StructType

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

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    Definition Classes
    H2OMOJOPredictionCoxPH
  80. 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
  81. 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
  82. 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
  83. def getCrossValidationModels(): Seq[H2OCoxPHMOJOModel.this.type]

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

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    Definition Classes
    H2OMOJOModel
  85. 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
  86. 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
  87. def getDataFrameSerializer(): String

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

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    Definition Classes
    Params
  89. def getDefaultThreshold(): Double

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    Definition Classes
    H2OMOJOModel
  90. def getDetailedPredictionCol(): String

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

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

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  93. def getDimReductionPredictionSchema(): StructType

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

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

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    Definition Classes
    H2OMOJOModel
  96. def getEndTime(): Long

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    Definition Classes
    H2OMOJOModel
  97. def getExportCheckpointsDir(): String

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  98. def getFeatureImportances(): DataFrame

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

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

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

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    Definition Classes
    HasIgnoredColsOnMOJO
  102. def getInit(): Double

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  103. def getInteractions(): Array[String]

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  104. def getInteractionsOnly(): Array[String]

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  105. def getLabelCol(): String

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  106. def getLreMin(): Double

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  107. def getMaxIterations(): Int

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  108. def getModelCategory(): String

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    Definition Classes
    H2OMOJOModel
  109. def getModelDetails(): String

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

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

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

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

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    Definition Classes
    H2OMOJOPredictionMultinomial
  114. def getMultinomialPredictionSchema(): StructType

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

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    Definition Classes
    H2OMOJOPredictionMultinomial
  116. def getNamedMojoOutputColumns(): Boolean

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

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

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

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    Definition Classes
    H2OMOJOPredictionOrdinal
  120. def getOrdinalPredictionSchema(): StructType

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

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

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    Definition Classes
    Params
  123. def getPredictionCol(): String

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

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    Definition Classes
    H2OMOJOPrediction
  125. def getPredictionSchema(): StructType

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    Definition Classes
    H2OMOJOPrediction
  126. def getPredictionUDF(): UserDefinedFunction

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

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    Definition Classes
    H2OMOJOPredictionRegression
  128. def getRegressionPredictionSchema(): StructType

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

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

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

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    Definition Classes
    H2OMOJOModel
  132. def getScoringHistory(): DataFrame

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    Definition Classes
    H2OMOJOModel
  133. def getSingleNodeMode(): Boolean

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  134. def getStageProbabilitiesSchema(model: EasyPredictModelWrapper): DataType

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

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  136. def getStartTime(): Long

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    Definition Classes
    H2OMOJOModel
  137. def getStopCol(): String

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  138. def getStratifyBy(): Array[String]

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  139. def getTies(): String

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  140. 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
  141. 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
  142. def getTrainingParams(): Map[String, String]

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    Definition Classes
    H2OMOJOModel
  143. def getUseAllFactorLevels(): Boolean

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  144. 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
  145. 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
  146. def getWeightCol(): String

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  147. def getWithContributions(): Boolean

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    Definition Classes
    H2OAlgorithmMOJOParams
  148. def getWithLeafNodeAssignments(): Boolean

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    Definition Classes
    H2OAlgorithmMOJOParams
  149. def getWithStageResults(): Boolean

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

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  151. def getWordEmbeddingPredictionSchema(): StructType

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

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

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

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    Definition Classes
    Params
  155. def hasParent: Boolean

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    Definition Classes
    Model
  156. def hashCode(): Int

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    Definition Classes
    AnyRef → Any
  157. val init: DoubleParam

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

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

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

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

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

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    Attributes
    protected
    Definition Classes
    ParameterConstructorMethods
  163. val interactions: NullableStringArrayParam

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    Attributes
    protected
  164. val interactionsOnly: NullableStringArrayParam

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

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

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

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    Definition Classes
    Params
  168. def isTraceEnabled(): Boolean

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

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

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

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    Attributes
    protected
  172. def log: Logger

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

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

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

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

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

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

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    Attributes
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    Logging
  179. def logName: String

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

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

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

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

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

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  185. val lreMin: DoubleParam

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  186. val maxIterations: IntParam

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  187. final val modelCategory: NullableStringParam

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    H2OMOJOModel
  188. final val modelDetails: NullableStringParam

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    Attributes
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    H2OMOJOModel
  189. final val modelSummary: NullableDataFrameParam

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

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

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

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    Attributes
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    H2OMOJOModelUtils
  193. val nonSerializableField: AnyRef

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

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

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    Definition Classes
    AnyRef
  196. def nullableBooleanArrayParam(name: String, doc: String): NullableBooleanArrayParam

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

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

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

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

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

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

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

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

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

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  206. def outputColumnName: String

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

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

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

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

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    Attributes
    protected
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    H2OAlgorithmMOJOParams
  211. final val runTime: LongParam

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

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

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

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

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

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

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

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

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

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

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

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

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    Definition Classes
    Model
  224. val singleNodeMode: BooleanParam

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    protected
  225. val startCol: NullableStringParam

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  226. final val startTime: LongParam

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    H2OMOJOModel
  227. val stopCol: NullableStringParam

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  228. val stratifyBy: NullableStringArrayParam

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

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

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

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    AnyRef
  232. val ties: NullableStringParam

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  233. def toString(): String

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    H2OMOJOModel → Identifiable → AnyRef → Any
  234. final val trainingMetrics: MapStringDoubleParam

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    H2OMOJOModel
  235. final val trainingMetricsObject: NullableMetricsParam

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    H2OMOJOModel
  236. final val trainingParams: MapStringStringParam

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

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

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

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

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

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    PipelineStage
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    @DeveloperApi()
  242. val uid: String

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    Definition Classes
    H2OCoxPHMOJOModelH2OSupervisedMOJOModelH2OAlgorithmMOJOModel → Identifiable
  243. 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
  244. val useAllFactorLevels: BooleanParam

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  245. final val validationMetrics: MapStringDoubleParam

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    H2OMOJOModel
  246. final val validationMetricsObject: NullableMetricsParam

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    H2OMOJOModel
  247. final def wait(): Unit

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

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

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

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  251. final val withContributions: BooleanParam

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    H2OAlgorithmMOJOParams
  252. final val withLeafNodeAssignments: BooleanParam

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    H2OAlgorithmMOJOParams
  253. final val withStageResults: BooleanParam

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    Attributes
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    H2OAlgorithmMOJOParams
  254. 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