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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Visibility
  1. Public
  2. All

Instance Constructors

  1. new H2OGAMMOJOModel(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. 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. final val coefficients: NullableDataFrameParam

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    Attributes
    protected
    Definition Classes
    H2OMOJOModel
  18. val coldStart: BooleanParam

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    Attributes
    protected
  19. val computePValues: BooleanParam

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    Attributes
    protected
  20. final val convertInvalidNumbersToNa: BooleanParam

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

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

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

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

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

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

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

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    Attributes
    protected
    Definition Classes
    H2OMOJOModel
  28. var crossValidationModelsScoringHistory: NullableDataFrameArrayParam

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    Attributes
    protected
    Definition Classes
    H2OMOJOModel
  29. val customMetricFunc: NullableStringParam

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

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

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

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

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

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

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    Attributes
    protected
    Definition Classes
    ParameterConstructorMethods
  36. val earlyStopping: BooleanParam

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    Attributes
    protected
  37. final val endTime: LongParam

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

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

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

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    Definition Classes
    Params
  41. def explainParams(): String

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    Definition Classes
    Params
  42. val exportCheckpointsDir: NullableStringParam

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    Attributes
    protected
  43. def extractAnomalyPredictionColContent(): Column

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    Definition Classes
    H2OMOJOPredictionAnomaly
  44. def extractBinomialPredictionColContent(): Column

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    Definition Classes
    H2OMOJOPredictionBinomial
  45. def extractClusteringPredictionColContent(): Column

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

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

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

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

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  50. def extractFeatureImportances(outputJson: JsonObject): DataFrame

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

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

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

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

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

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

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

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

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    Definition Classes
    H2OMOJOPredictionMultinomial
  59. def extractOrdinalPredictionColContent(): Column

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

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

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

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

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    Definition Classes
    H2OMOJOPrediction
  64. def extractRegressionPredictionColContent(): Column

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

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

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  67. val family: NullableStringParam

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    Attributes
    protected
  68. final val featureImportances: NullableDataFrameParam

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

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

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

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

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    Attributes
    protected
    Definition Classes
    ParameterConstructorMethods
  73. val foldAssignment: NullableStringParam

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    Attributes
    protected
  74. val foldCol: NullableStringParam

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

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

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  77. def getAnomalyPredictionColSchema(): Seq[StructField]

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    Definition Classes
    H2OMOJOPredictionAnomaly
  78. def getAnomalyPredictionSchema(): StructType

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

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    Definition Classes
    H2OMOJOPredictionAnomaly
  80. def getAucType(): String

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  81. def getBalanceClasses(): Boolean

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  82. def getBetaEpsilon(): Double

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  83. def getBinomialPredictionColSchema(): Seq[StructField]

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    Definition Classes
    H2OMOJOPredictionBinomial
  84. def getBinomialPredictionSchema(): StructType

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

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

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

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

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  89. def getClusteringPredictionColSchema(): Seq[StructField]

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    Definition Classes
    H2OMOJOPredictionClustering
  90. def getClusteringPredictionSchema(): StructType

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

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    Definition Classes
    H2OMOJOPredictionClustering
  92. def getCoefficients(): DataFrame

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    Definition Classes
    H2OMOJOModel
  93. def getColdStart(): Boolean

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  94. def getComputePValues(): Boolean

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  95. def getContributionsSchema(model: EasyPredictModelWrapper): DataType

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

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    Definition Classes
    H2OBaseMOJOParams
  97. def getConvertUnknownCategoricalLevelsToNa(): Boolean

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

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    Definition Classes
    H2OMOJOPredictionCoxPH
  99. def getCoxPHPredictionSchema(): StructType

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

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    Definition Classes
    H2OMOJOPredictionCoxPH
  101. 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
  102. 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
  103. 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
  104. def getCrossValidationModels(): Seq[H2OGAMMOJOModel.this.type]

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

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    Definition Classes
    H2OMOJOModel
  106. 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
  107. 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
  108. def getCustomMetricFunc(): String

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  109. def getDataFrameSerializer(): String

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

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    Definition Classes
    Params
  111. def getDefaultThreshold(): Double

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    Definition Classes
    H2OMOJOModel
  112. def getDetailedPredictionCol(): String

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

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

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  115. def getDimReductionPredictionSchema(): StructType

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

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

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    Definition Classes
    H2OMOJOModel
  118. def getEarlyStopping(): Boolean

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  119. def getEndTime(): Long

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    Definition Classes
    H2OMOJOModel
  120. def getExportCheckpointsDir(): String

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  121. def getFamily(): String

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  122. def getFeatureImportances(): DataFrame

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

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

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    Definition Classes
    H2OAlgorithmMOJOParams
  125. def getFoldAssignment(): String

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  126. def getFoldCol(): String

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

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    Definition Classes
    HasGamColsOnMOJO
  128. def getGradientEpsilon(): Double

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  129. def getIgnoreConstCols(): Boolean

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  130. def getIgnoredCols(): Array[String]

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

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  132. def getIntercept(): Boolean

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  133. def getKeepCrossValidationFoldAssignment(): Boolean

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  134. def getKeepCrossValidationModels(): Boolean

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  135. def getKeepCrossValidationPredictions(): Boolean

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  136. def getKeepGamCols(): Boolean

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  137. def getKnotIds(): Array[String]

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  138. def getLabelCol(): String

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  139. def getLambdaSearch(): Boolean

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  140. def getLambdaValue(): Array[Double]

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  141. def getLink(): String

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  142. def getMaxActivePredictors(): Int

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  143. def getMaxAfterBalanceSize(): Float

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  144. def getMaxConfusionMatrixSize(): Int

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  145. def getMaxIterations(): Int

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  146. def getMaxRuntimeSecs(): Double

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  147. def getMissingValuesHandling(): String

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  148. def getModelCategory(): String

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    Definition Classes
    H2OMOJOModel
  149. def getModelDetails(): String

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

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

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

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

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    Definition Classes
    H2OMOJOPredictionMultinomial
  154. def getMultinomialPredictionSchema(): StructType

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

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    Definition Classes
    H2OMOJOPredictionMultinomial
  156. def getNamedMojoOutputColumns(): Boolean

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    Definition Classes
    H2OAlgorithmMOJOParams
    Annotations
    @DeprecatedMethod( x$2 , x$1 )
  157. def getNfolds(): Int

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  158. def getNlambdas(): Int

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  159. def getNonNegative(): Boolean

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  160. def getNumKnots(): Array[Int]

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  161. def getObjReg(): Double

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  162. def getObjectiveEpsilon(): Double

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  163. def getOffsetCol(): String

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

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

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    Definition Classes
    H2OMOJOPredictionOrdinal
  166. def getOrdinalPredictionSchema(): StructType

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

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

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    Definition Classes
    Params
  169. def getPredictionCol(): String

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

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    Definition Classes
    H2OMOJOPrediction
  171. def getPredictionSchema(): StructType

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    Definition Classes
    H2OMOJOPrediction
  172. def getPredictionUDF(): UserDefinedFunction

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    Definition Classes
    H2OMOJOPrediction
  173. def getPrior(): Double

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  174. def getRegressionPredictionColSchema(): Seq[StructField]

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    Definition Classes
    H2OMOJOPredictionRegression
  175. def getRegressionPredictionSchema(): StructType

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

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

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

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  179. def getRunTime(): Long

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

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  181. def getScaleTpPenaltyMat(): Boolean

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  182. def getScoreEachIteration(): Boolean

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  183. def getScoringHistory(): DataFrame

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    Definition Classes
    H2OMOJOModel
  184. def getSolver(): String

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  185. def getSplineOrders(): Array[Int]

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  186. def getSplinesNonNegative(): Array[Boolean]

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  187. def getStageProbabilitiesSchema(model: EasyPredictModelWrapper): DataType

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

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  189. def getStandardizeTpGamCols(): Boolean

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  190. def getStartTime(): Long

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

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  192. def getStoppingMetric(): String

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  193. def getStoppingRounds(): Int

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  194. def getStoppingTolerance(): Double

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  195. def getTheta(): Double

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  196. 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
  197. 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
  198. def getTrainingParams(): Map[String, String]

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    Definition Classes
    H2OMOJOModel
  199. def getTweedieLinkPower(): Double

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  200. def getTweedieVariancePower(): Double

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  201. 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
  202. 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
  203. def getWeightCol(): String

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  204. def getWithContributions(): Boolean

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    Definition Classes
    H2OAlgorithmMOJOParams
  205. def getWithLeafNodeAssignments(): Boolean

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    Definition Classes
    H2OAlgorithmMOJOParams
  206. def getWithStageResults(): Boolean

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

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  208. def getWordEmbeddingPredictionSchema(): StructType

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

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  210. val gradientEpsilon: DoubleParam

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

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

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    Definition Classes
    Params
  213. def hasParent: Boolean

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    Definition Classes
    Model
  214. def hashCode(): Int

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    Definition Classes
    AnyRef → Any
  215. val ignoreConstCols: BooleanParam

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

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

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

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

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

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    Attributes
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    Definition Classes
    ParameterConstructorMethods
  221. val interactions: NullableStringArrayParam

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    Attributes
    protected
  222. val intercept: BooleanParam

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

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

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

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    Definition Classes
    Params
  226. def isTraceEnabled(): Boolean

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

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

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    Attributes
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    Definition Classes
    H2OMOJOModelUtils
  229. val keepCrossValidationFoldAssignment: BooleanParam

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    Attributes
    protected
  230. val keepCrossValidationModels: BooleanParam

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    Attributes
    protected
  231. val keepCrossValidationPredictions: BooleanParam

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    Attributes
    protected
  232. val keepGamCols: BooleanParam

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    Attributes
    protected
  233. val knotIds: NullableStringArrayParam

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    Attributes
    protected
  234. val labelCol: Param[String]

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    Attributes
    protected
  235. val lambdaSearch: BooleanParam

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    Attributes
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  236. val lambdaValue: NullableDoubleArrayParam

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    Attributes
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  237. val link: NullableStringParam

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    Attributes
    protected
  238. def log: Logger

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

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

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

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

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

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

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    Attributes
    protected
    Definition Classes
    Logging
  245. def logName: String

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

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

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

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

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

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    Attributes
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    Definition Classes
    ParameterConstructorMethods
  251. val maxActivePredictors: IntParam

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    Attributes
    protected
  252. val maxAfterBalanceSize: FloatParam

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    Attributes
    protected
  253. val maxConfusionMatrixSize: IntParam

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    Attributes
    protected
  254. val maxIterations: IntParam

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    Attributes
    protected
  255. val maxRuntimeSecs: DoubleParam

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    Attributes
    protected
  256. val missingValuesHandling: NullableStringParam

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    Attributes
    protected
  257. final val modelCategory: NullableStringParam

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

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    Attributes
    protected
    Definition Classes
    H2OMOJOModel
  259. final val modelSummary: NullableDataFrameParam

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

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

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

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    Attributes
    protected
    Definition Classes
    H2OMOJOModelUtils
  263. val nfolds: IntParam

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    Attributes
    protected
  264. val nlambdas: IntParam

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    Attributes
    protected
  265. val nonNegative: BooleanParam

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    Attributes
    protected
  266. val nonSerializableField: AnyRef

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

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

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

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    Attributes
    protected
    Definition Classes
    ParameterConstructorMethods
  270. def nullableDataFrameParam(name: String, doc: String): NullableDataFrameParam

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    Attributes
    protected
    Definition Classes
    H2OMOJOModel
  271. def nullableDoubleArrayArrayParam(name: String, doc: String): NullableDoubleArrayArrayParam

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    Attributes
    protected
    Definition Classes
    ParameterConstructorMethods
  272. def nullableDoubleArrayParam(name: String, doc: String): NullableDoubleArrayParam

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    Attributes
    protected
    Definition Classes
    ParameterConstructorMethods
  273. def nullableFloatArrayParam(name: String, doc: String): NullableFloatArrayParam

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    Attributes
    protected
    Definition Classes
    ParameterConstructorMethods
  274. def nullableIntArrayParam(name: String, doc: String): NullableIntArrayParam

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    Attributes
    protected
    Definition Classes
    ParameterConstructorMethods
  275. def nullableStringArrayArrayParam(name: String, doc: String): NullableStringArrayArrayParam

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    Attributes
    protected
    Definition Classes
    ParameterConstructorMethods
  276. def nullableStringArrayParam(name: String, doc: String): NullableStringArrayParam

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    Attributes
    protected
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    ParameterConstructorMethods
  277. def nullableStringPairArrayParam(name: String, doc: String): NullableStringPairArrayParam

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    Attributes
    protected
    Definition Classes
    ParameterConstructorMethods
  278. def nullableStringParam(name: String, doc: String): NullableStringParam

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    Attributes
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    Definition Classes
    ParameterConstructorMethods
  279. val numKnots: NullableIntArrayParam

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    Attributes
    protected
  280. val objReg: DoubleParam

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    Attributes
    protected
  281. val objectiveEpsilon: DoubleParam

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    Attributes
    protected
  282. def outputColumnName: String

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

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    Attributes
    protected
    Definition Classes
    ParameterConstructorMethods
  284. lazy val params: Array[Param[_]]

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

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

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    Attributes
    protected
    Definition Classes
    H2OAlgorithmMOJOParams
  287. val prior: DoubleParam

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    Attributes
    protected
  288. val removeCollinearCols: BooleanParam

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    Attributes
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  289. final val runTime: LongParam

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

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

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    Attributes
    protected
  292. val scaleTpPenaltyMat: BooleanParam

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    Attributes
    protected
  293. val scoreEachIteration: BooleanParam

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    Attributes
    protected
  294. final val scoringHistory: NullableDataFrameParam

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    Attributes
    protected
    Definition Classes
    H2OMOJOModel
  295. final def set(paramPair: ParamPair[_]): H2OGAMMOJOModel.this.type

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    Attributes
    protected
    Definition Classes
    Params
  296. final def set(param: String, value: Any): H2OGAMMOJOModel.this.type

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    Attributes
    protected
    Definition Classes
    Params
  297. final def set[T](param: Param[T], value: T): H2OGAMMOJOModel.this.type

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

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

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    Attributes
    protected
    Definition Classes
    Params
  300. final def setDefault[T](param: Param[T], value: T): H2OGAMMOJOModel.this.type

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    Attributes
    protected
    Definition Classes
    Params
  301. def setMojo(mojo: File): H2OGAMMOJOModel.this.type

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

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

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

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    Definition Classes
    Model
  305. val solver: NullableStringParam

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    Attributes
    protected
  306. val splineOrders: NullableIntArrayParam

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    Attributes
    protected
  307. val splinesNonNegative: NullableBooleanArrayParam

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    Attributes
    protected
  308. val standardize: BooleanParam

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    Attributes
    protected
  309. val standardizeTpGamCols: BooleanParam

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    Attributes
    protected
  310. final val startTime: LongParam

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    Attributes
    protected
    Definition Classes
    H2OMOJOModel
  311. val startval: NullableDoubleArrayParam

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    Attributes
    protected
  312. val stoppingMetric: NullableStringParam

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    Attributes
    protected
  313. val stoppingRounds: IntParam

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    Attributes
    protected
  314. val stoppingTolerance: DoubleParam

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    Attributes
    protected
  315. def stringArrayParam(name: String, doc: String): StringArrayParam

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    Attributes
    protected
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    ParameterConstructorMethods
  316. def stringParam(name: String, doc: String): Param[String]

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    Attributes
    protected
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    ParameterConstructorMethods
  317. final def synchronized[T0](arg0: ⇒ T0): T0

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    Definition Classes
    AnyRef
  318. val theta: DoubleParam

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    Attributes
    protected
  319. def toString(): String

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

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    Attributes
    protected
    Definition Classes
    H2OMOJOModel
  321. final val trainingMetricsObject: NullableMetricsParam

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    Attributes
    protected
    Definition Classes
    H2OMOJOModel
  322. final val trainingParams: MapStringStringParam

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    Attributes
    protected
    Definition Classes
    H2OMOJOModel
  323. def transform(dataset: Dataset[_]): DataFrame

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

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

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

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

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    Attributes
    protected
    Definition Classes
    PipelineStage
    Annotations
    @DeveloperApi()
  328. val tweedieLinkPower: DoubleParam

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    Attributes
    protected
  329. val tweedieVariancePower: DoubleParam

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    Attributes
    protected
  330. val uid: String

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    Definition Classes
    H2OGAMMOJOModelH2OSupervisedMOJOModelH2OAlgorithmMOJOModel → Identifiable
  331. 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
  332. final val validationMetrics: MapStringDoubleParam

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    Attributes
    protected
    Definition Classes
    H2OMOJOModel
  333. final val validationMetricsObject: NullableMetricsParam

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    Attributes
    protected
    Definition Classes
    H2OMOJOModel
  334. final def wait(): Unit

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  335. final def wait(arg0: Long, arg1: Int): Unit

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  336. final def wait(arg0: Long): Unit

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  337. val weightCol: NullableStringParam

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    Attributes
    protected
  338. final val withContributions: BooleanParam

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    Attributes
    protected
    Definition Classes
    H2OAlgorithmMOJOParams
  339. final val withLeafNodeAssignments: BooleanParam

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    Attributes
    protected
    Definition Classes
    H2OAlgorithmMOJOParams
  340. final val withStageResults: BooleanParam

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    Attributes
    protected
    Definition Classes
    H2OAlgorithmMOJOParams
  341. 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