Class/Object

ai.h2o.sparkling.ml.models

H2OGAMMOJOModel

Related Docs: object H2OGAMMOJOModel | package models

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class H2OGAMMOJOModel extends H2OSupervisedMOJOModel with ParameterConstructorMethods with Logging with HasIgnoredColsOnMOJO with HasGamColsOnMOJO

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Inherited
  1. H2OGAMMOJOModel
  2. HasGamColsOnMOJO
  3. HasIgnoredColsOnMOJO
  4. ParameterConstructorMethods
  5. H2OSupervisedMOJOModel
  6. H2OSupervisedMOJOParams
  7. H2OAlgorithmMOJOModel
  8. H2OAlgorithmMOJOParams
  9. H2OMOJOPrediction
  10. H2OMOJOPredictionOrdinal
  11. H2OMOJOPredictionCoxPH
  12. H2OMOJOPredictionBinomial
  13. H2OMOJOPredictionClustering
  14. H2OMOJOPredictionDimReduction
  15. H2OMOJOPredictionMultinomial
  16. PredictionWithStageProbabilities
  17. H2OMOJOPredictionAnomaly
  18. H2OMOJOPredictionWordEmbedding
  19. H2OMOJOPredictionRegression
  20. PredictionWithContributions
  21. H2OMOJOModel
  22. HasFeatureTypesOnMOJO
  23. H2OBaseMOJOParams
  24. HasDataFrameSerializer
  25. SpecificMOJOParameters
  26. H2OMOJOModelUtils
  27. Logging
  28. H2OMOJOWritable
  29. MLWritable
  30. HasMojo
  31. H2OMOJOFlattenedInput
  32. Model
  33. Transformer
  34. PipelineStage
  35. Logging
  36. Params
  37. Serializable
  38. Serializable
  39. Identifiable
  40. AnyRef
  41. Any
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Instance Constructors

  1. new H2OGAMMOJOModel(uid: String)

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Value Members

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

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

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

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

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    Definition Classes
    AnyRef → Any
  5. val alphaValue: NullableDoubleArrayParam

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    Attributes
    protected
  6. def applyPredictionUdf(dataset: Dataset[_], udfConstructor: (Array[String]) ⇒ UserDefinedFunction): DataFrame

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

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

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    Definition Classes
    Any
  9. val aucType: NullableStringParam

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    Attributes
    protected
  10. val balanceClasses: BooleanParam

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    Attributes
    protected
  11. val betaEpsilon: DoubleParam

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    Attributes
    protected
  12. def booleanParam(name: String, doc: String): BooleanParam

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    Attributes
    protected
    Definition Classes
    ParameterConstructorMethods
  13. val bs: NullableIntArrayParam

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    Attributes
    protected
  14. val classSamplingFactors: NullableFloatArrayParam

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    Attributes
    protected
  15. final def clear(param: Param[_]): H2OGAMMOJOModel.this.type

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    Definition Classes
    Params
  16. def clone(): AnyRef

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    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  17. val coldStart: BooleanParam

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    Attributes
    protected
  18. val computePValues: BooleanParam

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    Attributes
    protected
  19. final val convertInvalidNumbersToNa: BooleanParam

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

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

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

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

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

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

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

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    Attributes
    protected
    Definition Classes
    H2OMOJOModel
  27. val customMetricFunc: NullableStringParam

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    Attributes
    protected
  28. final val dataFrameSerializer: Param[String]

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

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

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

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

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

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    Attributes
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    Definition Classes
    ParameterConstructorMethods
  34. val earlyStopping: BooleanParam

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    Attributes
    protected
  35. final val endTime: LongParam

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

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

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

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    Definition Classes
    Params
  39. def explainParams(): String

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    Definition Classes
    Params
  40. val exportCheckpointsDir: NullableStringParam

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    Attributes
    protected
  41. def extractAnomalyPredictionColContent(): Column

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    Definition Classes
    H2OMOJOPredictionAnomaly
  42. def extractBinomialPredictionColContent(): Column

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    Definition Classes
    H2OMOJOPredictionBinomial
  43. def extractClusteringPredictionColContent(): Column

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    Definition Classes
    H2OMOJOPredictionClustering
  44. def extractCoxPHPredictionColContent(): Column

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

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

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  47. def extractFeatureImportances(outputJson: JsonObject): DataFrame

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

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

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

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

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

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

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    Definition Classes
    H2OMOJOPredictionMultinomial
  54. def extractOrdinalPredictionColContent(): Column

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

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

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

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

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    Definition Classes
    H2OMOJOPrediction
  59. def extractRegressionPredictionColContent(): Column

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

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

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  62. val family: NullableStringParam

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    Attributes
    protected
  63. final val featureImportances: NullableDataFrameParam

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

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

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

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

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    Attributes
    protected
    Definition Classes
    ParameterConstructorMethods
  68. val foldAssignment: NullableStringParam

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    Attributes
    protected
  69. val foldCol: NullableStringParam

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

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    Definition Classes
    Params
  71. def getAlphaValue(): Array[Double]

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  72. def getAnomalyPredictionColSchema(): Seq[StructField]

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    Definition Classes
    H2OMOJOPredictionAnomaly
  73. def getAnomalyPredictionSchema(): StructType

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    Definition Classes
    H2OMOJOPredictionAnomaly
  74. def getAnomalyPredictionUDF(): UserDefinedFunction

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    Definition Classes
    H2OMOJOPredictionAnomaly
  75. def getAucType(): String

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  76. def getBalanceClasses(): Boolean

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  77. def getBetaEpsilon(): Double

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  78. def getBinomialPredictionColSchema(): Seq[StructField]

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    Definition Classes
    H2OMOJOPredictionBinomial
  79. def getBinomialPredictionSchema(): StructType

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    Definition Classes
    H2OMOJOPredictionBinomial
  80. def getBinomialPredictionUDF(): UserDefinedFunction

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    Definition Classes
    H2OMOJOPredictionBinomial
  81. def getBs(): Array[Int]

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  82. final def getClass(): Class[_]

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    Definition Classes
    AnyRef → Any
  83. def getClassSamplingFactors(): Array[Float]

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  84. def getClusteringPredictionColSchema(): Seq[StructField]

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    Definition Classes
    H2OMOJOPredictionClustering
  85. def getClusteringPredictionSchema(): StructType

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    Definition Classes
    H2OMOJOPredictionClustering
  86. def getClusteringPredictionUDF(): UserDefinedFunction

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    Definition Classes
    H2OMOJOPredictionClustering
  87. def getColdStart(): Boolean

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  88. def getComputePValues(): Boolean

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  89. def getContributionsSchema(model: EasyPredictModelWrapper): DataType

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

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    Definition Classes
    H2OBaseMOJOParams
  91. def getConvertUnknownCategoricalLevelsToNa(): Boolean

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

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    Definition Classes
    H2OMOJOPredictionCoxPH
  93. def getCoxPHPredictionSchema(): StructType

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    Definition Classes
    H2OMOJOPredictionCoxPH
  94. def getCoxPHPredictionUDF(): UserDefinedFunction

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    Definition Classes
    H2OMOJOPredictionCoxPH
  95. 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
  96. def getCrossValidationMetricsObject(): H2OMetrics

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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
    H2OMOJOModel
  97. 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
  98. def getCrossValidationModels(): Seq[H2OGAMMOJOModel.this.type]

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    Definition Classes
    H2OMOJOModel
  99. 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
  100. 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
  101. def getCustomMetricFunc(): String

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  102. def getDataFrameSerializer(): String

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

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    Definition Classes
    Params
  104. def getDefaultThreshold(): Double

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    Definition Classes
    H2OMOJOModel
  105. def getDetailedPredictionCol(): String

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

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

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  108. def getDimReductionPredictionSchema(): StructType

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  109. def getDimReductionPredictionUDF(): UserDefinedFunction

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

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    Definition Classes
    H2OMOJOModel
  111. def getEarlyStopping(): Boolean

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  112. def getEndTime(): Long

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    Definition Classes
    H2OMOJOModel
  113. def getExportCheckpointsDir(): String

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  114. def getFamily(): String

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  115. def getFeatureImportances(): DataFrame

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

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

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    Definition Classes
    H2OAlgorithmMOJOParams
  118. def getFoldAssignment(): String

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  119. def getFoldCol(): String

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  120. def getGamCols(): Array[Array[String]]

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    Definition Classes
    HasGamColsOnMOJO
  121. def getGradientEpsilon(): Double

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  122. def getIgnoreConstCols(): Boolean

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  123. def getIgnoredCols(): Array[String]

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    Definition Classes
    HasIgnoredColsOnMOJO
  124. def getInteractions(): Array[String]

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  125. def getIntercept(): Boolean

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  126. def getKeepCrossValidationFoldAssignment(): Boolean

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  127. def getKeepCrossValidationModels(): Boolean

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  128. def getKeepCrossValidationPredictions(): Boolean

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  129. def getKeepGamCols(): Boolean

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  130. def getKnotIds(): Array[String]

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  131. def getLabelCol(): String

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  132. def getLambdaSearch(): Boolean

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  133. def getLambdaValue(): Array[Double]

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  134. def getLink(): String

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  135. def getMaxActivePredictors(): Int

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  136. def getMaxAfterBalanceSize(): Float

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  137. def getMaxConfusionMatrixSize(): Int

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  138. def getMaxIterations(): Int

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  139. def getMaxRuntimeSecs(): Double

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  140. def getMissingValuesHandling(): String

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  141. def getModelCategory(): String

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    Definition Classes
    H2OMOJOModel
  142. def getModelDetails(): String

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

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

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

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    Definition Classes
    H2OMOJOPredictionMultinomial
  146. def getMultinomialPredictionSchema(): StructType

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    Definition Classes
    H2OMOJOPredictionMultinomial
  147. def getMultinomialPredictionUDF(): UserDefinedFunction

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    Definition Classes
    H2OMOJOPredictionMultinomial
  148. def getNamedMojoOutputColumns(): Boolean

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    Definition Classes
    H2OAlgorithmMOJOParams
  149. def getNfolds(): Int

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  150. def getNlambdas(): Int

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  151. def getNonNegative(): Boolean

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  152. def getNumKnots(): Array[Int]

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  153. def getObjReg(): Double

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  154. def getObjectiveEpsilon(): Double

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  155. def getOffsetCol(): String

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

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

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    Definition Classes
    H2OMOJOPredictionOrdinal
  158. def getOrdinalPredictionSchema(): StructType

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    Definition Classes
    H2OMOJOPredictionOrdinal
  159. def getOrdinalPredictionUDF(): UserDefinedFunction

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

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    Definition Classes
    Params
  161. def getPredictionCol(): String

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

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    Definition Classes
    H2OMOJOPrediction
  163. def getPredictionSchema(): StructType

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    Definition Classes
    H2OMOJOPrediction
  164. def getPredictionUDF(): UserDefinedFunction

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    Definition Classes
    H2OMOJOPrediction
  165. def getPrior(): Double

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  166. def getRegressionPredictionColSchema(): Seq[StructField]

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    Definition Classes
    H2OMOJOPredictionRegression
  167. def getRegressionPredictionSchema(): StructType

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    Definition Classes
    H2OMOJOPredictionRegression
  168. def getRegressionPredictionUDF(): UserDefinedFunction

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

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    Attributes
    protected
    Definition Classes
    H2OMOJOFlattenedInput
  170. def getRemoveCollinearCols(): Boolean

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  171. def getRunTime(): Long

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    Definition Classes
    H2OMOJOModel
  172. def getScale(): Array[Double]

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  173. def getScaleTpPenaltyMat(): Boolean

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  174. def getScoreEachIteration(): Boolean

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  175. def getScoringHistory(): DataFrame

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    Definition Classes
    H2OMOJOModel
  176. def getSolver(): String

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  177. def getStageProbabilitiesSchema(model: EasyPredictModelWrapper): DataType

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    Attributes
    protected
    Definition Classes
    PredictionWithStageProbabilities
  178. def getStandardize(): Boolean

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  179. def getStandardizeTpGamCols(): Boolean

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  180. def getStartTime(): Long

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    Definition Classes
    H2OMOJOModel
  181. def getStartval(): Array[Double]

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  182. def getStoppingMetric(): String

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  183. def getStoppingRounds(): Int

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  184. def getStoppingTolerance(): Double

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  185. def getTheta(): Double

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  186. 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
  187. def getTrainingMetricsObject(): H2OMetrics

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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
    H2OMOJOModel
  188. def getTrainingParams(): Map[String, String]

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    Definition Classes
    H2OMOJOModel
  189. def getTweedieLinkPower(): Double

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  190. def getTweedieVariancePower(): Double

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  191. 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
  192. def getValidationMetricsObject(): H2OMetrics

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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
    H2OMOJOModel
  193. def getWeightCol(): String

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  194. def getWithContributions(): Boolean

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    Definition Classes
    H2OAlgorithmMOJOParams
  195. def getWithLeafNodeAssignments(): Boolean

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    Definition Classes
    H2OAlgorithmMOJOParams
  196. def getWithStageResults(): Boolean

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

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  198. def getWordEmbeddingPredictionSchema(): StructType

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  199. def getWordEmbeddingPredictionUDF(): UserDefinedFunction

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  200. val gradientEpsilon: DoubleParam

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    Attributes
    protected
  201. final def hasDefault[T](param: Param[T]): Boolean

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

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    Definition Classes
    Params
  203. def hasParent: Boolean

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    Definition Classes
    Model
  204. def hashCode(): Int

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    Definition Classes
    AnyRef → Any
  205. val ignoreConstCols: BooleanParam

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

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

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

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

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    Attributes
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  210. def intParam(name: String, doc: String): IntParam

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  211. val interactions: NullableStringArrayParam

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    Attributes
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  212. val intercept: BooleanParam

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

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    Params
  214. final def isInstanceOf[T0]: Boolean

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

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  216. def isTraceEnabled(): Boolean

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    Attributes
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    Logging
  217. def jsonFieldToDataFrame(outputJson: JsonObject, fieldName: String): DataFrame

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    Attributes
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    H2OMOJOModelUtils
  218. def jsonFieldToDoubleArray(outputJson: JsonObject, fieldName: String): Array[Double]

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    Attributes
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    Definition Classes
    H2OMOJOModelUtils
  219. val keepCrossValidationFoldAssignment: BooleanParam

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  220. val keepCrossValidationModels: BooleanParam

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  221. val keepCrossValidationPredictions: BooleanParam

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  222. val keepGamCols: BooleanParam

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  223. val knotIds: NullableStringArrayParam

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  224. val labelCol: Param[String]

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  225. val lambdaSearch: BooleanParam

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  226. val lambdaValue: NullableDoubleArrayParam

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  227. val link: NullableStringParam

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  228. def log: Logger

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

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

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

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

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

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

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    Logging
  235. def logName: String

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

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

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

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

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

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  241. val maxActivePredictors: IntParam

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  242. val maxAfterBalanceSize: FloatParam

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  243. val maxConfusionMatrixSize: IntParam

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  244. val maxIterations: IntParam

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  245. val maxRuntimeSecs: DoubleParam

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  246. val missingValuesHandling: NullableStringParam

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  247. final val modelCategory: NullableStringParam

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    H2OMOJOModel
  248. final val modelDetails: NullableStringParam

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    H2OMOJOModel
  249. final val namedMojoOutputColumns: Param[Boolean]

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    H2OAlgorithmMOJOParams
  250. final def ne(arg0: AnyRef): Boolean

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  251. val nfolds: IntParam

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  252. val nlambdas: IntParam

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  253. val nonNegative: BooleanParam

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  254. final def notify(): Unit

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  255. final def notifyAll(): Unit

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

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

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

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

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

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

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

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  263. def nullableStringPairArrayParam(name: String, doc: String): NullableStringPairArrayParam

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  264. def nullableStringParam(name: String, doc: String): NullableStringParam

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  265. val numKnots: NullableIntArrayParam

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  266. val objReg: DoubleParam

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  267. val objectiveEpsilon: DoubleParam

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  268. def outputColumnName: String

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

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

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

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

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    H2OAlgorithmMOJOParams
  273. val prior: DoubleParam

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  274. val removeCollinearCols: BooleanParam

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  275. final val runTime: LongParam

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    H2OMOJOModel
  276. def save(path: String): Unit

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    Definition Classes
    MLWritable
    Annotations
    @Since( "1.6.0" ) @throws( ... )
  277. val scale: NullableDoubleArrayParam

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  278. val scaleTpPenaltyMat: BooleanParam

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  279. val scoreEachIteration: BooleanParam

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  280. final val scoringHistory: NullableDataFrameParam

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    H2OMOJOModel
  281. final def set(paramPair: ParamPair[_]): H2OGAMMOJOModel.this.type

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  282. final def set(param: String, value: Any): H2OGAMMOJOModel.this.type

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  283. final def set[T](param: Param[T], value: T): H2OGAMMOJOModel.this.type

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    Definition Classes
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  284. def setDataFrameSerializer(fullClassName: String): H2OGAMMOJOModel.this.type

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    Definition Classes
    H2OBaseMOJOParams
  285. final def setDefault(paramPairs: ParamPair[_]*): H2OGAMMOJOModel.this.type

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  286. final def setDefault[T](param: Param[T], value: T): H2OGAMMOJOModel.this.type

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  287. def setMojo(mojo: File): H2OGAMMOJOModel.this.type

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    Definition Classes
    HasMojo
  288. def setMojo(mojo: InputStream, mojoName: String): H2OGAMMOJOModel.this.type

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    Definition Classes
    HasMojo
  289. def setMojo(mojo: InputStream): H2OGAMMOJOModel.this.type

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

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    Definition Classes
    Model
  291. val solver: NullableStringParam

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  292. val standardize: BooleanParam

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  293. val standardizeTpGamCols: BooleanParam

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  294. final val startTime: LongParam

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    H2OMOJOModel
  295. val startval: NullableDoubleArrayParam

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  296. val stoppingMetric: NullableStringParam

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  297. val stoppingRounds: IntParam

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  298. val stoppingTolerance: DoubleParam

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

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

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

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  302. val theta: DoubleParam

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    protected
  303. def toString(): String

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

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    H2OMOJOModel
  305. final val trainingMetricsObject: NullableMetricsParam

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    H2OMOJOModel
  306. final val trainingParams: MapStringStringParam

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

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

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

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

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

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    PipelineStage
    Annotations
    @DeveloperApi()
  312. val tweedieLinkPower: DoubleParam

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  313. val tweedieVariancePower: DoubleParam

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  314. val uid: String

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    Definition Classes
    H2OGAMMOJOModelH2OSupervisedMOJOModelH2OAlgorithmMOJOModel → Identifiable
  315. 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
  316. final val validationMetrics: MapStringDoubleParam

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    H2OMOJOModel
  317. final val validationMetricsObject: NullableMetricsParam

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    H2OMOJOModel
  318. final def wait(): Unit

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

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

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

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  322. final val withContributions: BooleanParam

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    H2OAlgorithmMOJOParams
  323. final val withLeafNodeAssignments: BooleanParam

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    H2OAlgorithmMOJOParams
  324. final val withStageResults: BooleanParam

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    H2OAlgorithmMOJOParams
  325. def write: MLWriter

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    Definition Classes
    H2OMOJOWritable → MLWritable

Inherited from HasGamColsOnMOJO

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