Class/Object

ai.h2o.sparkling.ml.models

H2OGLMMOJOModel

Related Docs: object H2OGLMMOJOModel | package models

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class H2OGLMMOJOModel extends H2OSupervisedMOJOModel with ParameterConstructorMethods with Logging with HasIgnoredColsOnMOJO

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Inherited
  1. H2OGLMMOJOModel
  2. HasIgnoredColsOnMOJO
  3. ParameterConstructorMethods
  4. H2OSupervisedMOJOModel
  5. H2OSupervisedMOJOParams
  6. H2OAlgorithmMOJOModel
  7. H2OAlgorithmMOJOParams
  8. H2OMOJOPrediction
  9. H2OMOJOPredictionOrdinal
  10. H2OMOJOPredictionCoxPH
  11. H2OMOJOPredictionBinomial
  12. H2OMOJOPredictionClustering
  13. H2OMOJOPredictionDimReduction
  14. H2OMOJOPredictionMultinomial
  15. PredictionWithStageProbabilities
  16. H2OMOJOPredictionAnomaly
  17. H2OMOJOPredictionWordEmbedding
  18. H2OMOJOPredictionRegression
  19. PredictionWithContributions
  20. H2OMOJOModel
  21. HasFeatureTypesOnMOJO
  22. H2OBaseMOJOParams
  23. HasDataFrameSerializer
  24. SpecificMOJOParameters
  25. H2OMOJOModelUtils
  26. Logging
  27. H2OMOJOWritable
  28. MLWritable
  29. HasMojo
  30. H2OMOJOFlattenedInput
  31. Model
  32. Transformer
  33. PipelineStage
  34. Logging
  35. Params
  36. Serializable
  37. Serializable
  38. Identifiable
  39. AnyRef
  40. Any
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Visibility
  1. Public
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Instance Constructors

  1. new H2OGLMMOJOModel(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 HGLM: BooleanParam

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    Attributes
    protected
  6. val alphaValue: NullableDoubleArrayParam

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

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

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

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    Definition Classes
    Any
  10. val aucType: NullableStringParam

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    Attributes
    protected
  11. val balanceClasses: BooleanParam

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    Attributes
    protected
  12. val betaEpsilon: DoubleParam

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

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    Attributes
    protected
    Definition Classes
    ParameterConstructorMethods
  14. val buildNullModel: BooleanParam

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    Attributes
    protected
  15. val calcLike: BooleanParam

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    Attributes
    protected
  16. val checkpoint: NullableStringParam

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    Attributes
    protected
  17. val classSamplingFactors: NullableFloatArrayParam

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    Attributes
    protected
  18. final def clear(param: Param[_]): H2OGLMMOJOModel.this.type

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    Definition Classes
    Params
  19. def clone(): AnyRef

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    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  20. final val coefficients: NullableDataFrameParam

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    Attributes
    protected
    Definition Classes
    H2OMOJOModel
  21. val coldStart: BooleanParam

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    Attributes
    protected
  22. val computePValues: BooleanParam

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    Attributes
    protected
  23. final val convertInvalidNumbersToNa: BooleanParam

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

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

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

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

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

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

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

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    Attributes
    protected
    Definition Classes
    H2OMOJOModel
  31. var crossValidationModelsScoringHistory: NullableDataFrameArrayParam

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    Attributes
    protected
    Definition Classes
    H2OMOJOModel
  32. val customMetricFunc: NullableStringParam

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

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

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

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

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    Attributes
    protected
    Definition Classes
    H2OAlgorithmMOJOParams
  37. val dispersionEpsilon: DoubleParam

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    Attributes
    protected
  38. val dispersionLearningRate: DoubleParam

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    Attributes
    protected
  39. val dispersionParameterMethod: NullableStringParam

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    Attributes
    protected
  40. def doubleArrayParam(name: String, doc: String): DoubleArrayParam

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

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    Attributes
    protected
    Definition Classes
    ParameterConstructorMethods
  42. val earlyStopping: BooleanParam

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    Attributes
    protected
  43. final val endTime: LongParam

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

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

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

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    Definition Classes
    Params
  47. def explainParams(): String

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    Definition Classes
    Params
  48. val exportCheckpointsDir: NullableStringParam

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    Attributes
    protected
  49. def extractAnomalyPredictionColContent(): Column

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    Definition Classes
    H2OMOJOPredictionAnomaly
  50. def extractBinomialPredictionColContent(): Column

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    Definition Classes
    H2OMOJOPredictionBinomial
  51. def extractClusteringPredictionColContent(): Column

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

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

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

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

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  56. def extractFeatureImportances(outputJson: JsonObject): DataFrame

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

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

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

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

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

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

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

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

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    Definition Classes
    H2OMOJOPredictionMultinomial
  65. def extractOrdinalPredictionColContent(): Column

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

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

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

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

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    Definition Classes
    H2OMOJOPrediction
  70. def extractRegressionPredictionColContent(): Column

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

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

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  73. val family: NullableStringParam

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    Attributes
    protected
  74. final val featureImportances: NullableDataFrameParam

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

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

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

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    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] )
  78. val fixDispersionParameter: BooleanParam

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    Attributes
    protected
  79. val fixTweedieVariancePower: BooleanParam

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    Attributes
    protected
  80. def floatParam(name: String, doc: String): FloatParam

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    Attributes
    protected
    Definition Classes
    ParameterConstructorMethods
  81. val foldAssignment: NullableStringParam

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    Attributes
    protected
  82. val foldCol: NullableStringParam

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    Attributes
    protected
  83. val generateScoringHistory: BooleanParam

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    Attributes
    protected
  84. val generateVariableInflationFactors: BooleanParam

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

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

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  87. def getAnomalyPredictionColSchema(): Seq[StructField]

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    Definition Classes
    H2OMOJOPredictionAnomaly
  88. def getAnomalyPredictionSchema(): StructType

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

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    Definition Classes
    H2OMOJOPredictionAnomaly
  90. def getAucType(): String

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  91. def getBalanceClasses(): Boolean

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  92. def getBetaEpsilon(): Double

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  93. def getBinomialPredictionColSchema(): Seq[StructField]

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    Definition Classes
    H2OMOJOPredictionBinomial
  94. def getBinomialPredictionSchema(): StructType

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

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    Definition Classes
    H2OMOJOPredictionBinomial
  96. def getBuildNullModel(): Boolean

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  97. def getCalcLike(): Boolean

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  98. def getCheckpoint(): String

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

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

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  101. def getClusteringPredictionColSchema(): Seq[StructField]

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    Definition Classes
    H2OMOJOPredictionClustering
  102. def getClusteringPredictionSchema(): StructType

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

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    Definition Classes
    H2OMOJOPredictionClustering
  104. def getCoefficients(): DataFrame

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    Definition Classes
    H2OMOJOModel
  105. def getColdStart(): Boolean

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  106. def getComputePValues(): Boolean

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  107. def getContributionsSchema(model: EasyPredictModelWrapper): DataType

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

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    Definition Classes
    H2OBaseMOJOParams
  109. def getConvertUnknownCategoricalLevelsToNa(): Boolean

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

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    Definition Classes
    H2OMOJOPredictionCoxPH
  111. def getCoxPHPredictionSchema(): StructType

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

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    Definition Classes
    H2OMOJOPredictionCoxPH
  113. 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
  114. def getCrossValidationMetricsObject(): H2OGLMMetrics

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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
    H2OGLMMOJOModelH2OMOJOModel
  115. 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
  116. def getCrossValidationModels(): Seq[H2OGLMMOJOModel.this.type]

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

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    Definition Classes
    H2OMOJOModel
  118. 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
  119. 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
  120. def getCustomMetricFunc(): String

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  121. def getDataFrameSerializer(): String

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

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    Definition Classes
    Params
  123. def getDefaultThreshold(): Double

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    Definition Classes
    H2OMOJOModel
  124. def getDetailedPredictionCol(): String

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

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

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  127. def getDimReductionPredictionSchema(): StructType

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

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  129. def getDispersionEpsilon(): Double

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  130. def getDispersionLearningRate(): Double

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  131. def getDispersionParameterMethod(): String

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

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    Definition Classes
    H2OMOJOModel
  133. def getEarlyStopping(): Boolean

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  134. def getEndTime(): Long

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    Definition Classes
    H2OMOJOModel
  135. def getExportCheckpointsDir(): String

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  136. def getFamily(): String

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  137. def getFeatureImportances(): DataFrame

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

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

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    Definition Classes
    H2OAlgorithmMOJOParams
  140. def getFixDispersionParameter(): Boolean

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  141. def getFixTweedieVariancePower(): Boolean

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  142. def getFoldAssignment(): String

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  143. def getFoldCol(): String

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  144. def getGenerateScoringHistory(): Boolean

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  145. def getGenerateVariableInflationFactors(): Boolean

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  146. def getGradientEpsilon(): Double

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  147. def getHGLM(): Boolean

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  148. def getIgnoreConstCols(): Boolean

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  149. def getIgnoredCols(): Array[String]

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    Definition Classes
    HasIgnoredColsOnMOJO
  150. def getInfluence(): String

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  151. def getInitDispersionParameter(): Double

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  152. def getInteractions(): Array[String]

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  153. def getIntercept(): Boolean

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  154. def getKeepCrossValidationFoldAssignment(): Boolean

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  155. def getKeepCrossValidationModels(): Boolean

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  156. def getKeepCrossValidationPredictions(): Boolean

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  157. def getLabelCol(): String

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  158. def getLambdaMinRatio(): Double

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  159. def getLambdaSearch(): Boolean

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  160. def getLambdaValue(): Array[Double]

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  161. def getLink(): String

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  162. def getMaxActivePredictors(): Int

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  163. def getMaxAfterBalanceSize(): Float

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  164. def getMaxConfusionMatrixSize(): Int

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  165. def getMaxIterations(): Int

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  166. def getMaxIterationsDispersion(): Int

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  167. def getMaxRuntimeSecs(): Double

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  168. def getMissingValuesHandling(): String

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  169. def getModelCategory(): String

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    Definition Classes
    H2OMOJOModel
  170. def getModelDetails(): String

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

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

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

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

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    Definition Classes
    H2OMOJOPredictionMultinomial
  175. def getMultinomialPredictionSchema(): StructType

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

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    Definition Classes
    H2OMOJOPredictionMultinomial
  177. def getNfolds(): Int

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  178. def getNlambdas(): Int

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  179. def getNonNegative(): Boolean

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  180. def getObjReg(): Double

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  181. def getObjectiveEpsilon(): Double

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  182. def getOffsetCol(): String

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

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

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    Definition Classes
    H2OMOJOPredictionOrdinal
  185. def getOrdinalPredictionSchema(): StructType

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

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

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    Definition Classes
    Params
  188. def getPredictionCol(): String

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

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    Definition Classes
    H2OMOJOPrediction
  190. def getPredictionSchema(): StructType

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    Definition Classes
    H2OMOJOPrediction
  191. def getPredictionUDF(): UserDefinedFunction

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    Definition Classes
    H2OMOJOPrediction
  192. def getPrior(): Double

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  193. def getRandomFamily(): Array[String]

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  194. def getRandomLink(): Array[String]

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  195. def getRegressionPredictionColSchema(): Seq[StructField]

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    Definition Classes
    H2OMOJOPredictionRegression
  196. def getRegressionPredictionSchema(): StructType

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

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

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

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  200. def getRunTime(): Long

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    Definition Classes
    H2OMOJOModel
  201. def getScoreEachIteration(): Boolean

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  202. def getScoreIterationInterval(): Int

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  203. def getScoringHistory(): DataFrame

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    Definition Classes
    H2OMOJOModel
  204. def getSeed(): Long

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  205. def getSolver(): String

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  206. def getStageProbabilitiesSchema(model: EasyPredictModelWrapper): DataType

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

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  208. def getStartTime(): Long

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

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  210. def getStoppingMetric(): String

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  211. def getStoppingRounds(): Int

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  212. def getStoppingTolerance(): Double

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  213. def getTheta(): Double

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  214. 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
  215. def getTrainingMetricsObject(): H2OGLMMetrics

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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
    H2OGLMMOJOModelH2OMOJOModel
  216. def getTrainingParams(): Map[String, String]

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    Definition Classes
    H2OMOJOModel
  217. def getTweedieEpsilon(): Double

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  218. def getTweedieLinkPower(): Double

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  219. def getTweedieVariancePower(): Double

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  220. 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
  221. def getValidationMetricsObject(): H2OGLMMetrics

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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
    H2OGLMMOJOModelH2OMOJOModel
  222. def getWeightCol(): String

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  223. def getWithContributions(): Boolean

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    Definition Classes
    H2OAlgorithmMOJOParams
  224. def getWithLeafNodeAssignments(): Boolean

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    Definition Classes
    H2OAlgorithmMOJOParams
  225. def getWithStageResults(): Boolean

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

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  227. def getWordEmbeddingPredictionSchema(): StructType

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

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  229. val gradientEpsilon: DoubleParam

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

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

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    Definition Classes
    Params
  232. def hasParent: Boolean

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    Definition Classes
    Model
  233. def hashCode(): Int

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    Definition Classes
    AnyRef → Any
  234. val ignoreConstCols: BooleanParam

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    Attributes
    protected
  235. val influence: NullableStringParam

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    Attributes
    protected
  236. val initDispersionParameter: DoubleParam

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

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

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

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

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

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    Definition Classes
    ParameterConstructorMethods
  242. val interactions: NullableStringArrayParam

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    Attributes
    protected
  243. val intercept: BooleanParam

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

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

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

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    Definition Classes
    Params
  247. def isTraceEnabled(): Boolean

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

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

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    Attributes
    protected
    Definition Classes
    H2OMOJOModelUtils
  250. val keepCrossValidationFoldAssignment: BooleanParam

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    Attributes
    protected
  251. val keepCrossValidationModels: BooleanParam

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    Attributes
    protected
  252. val keepCrossValidationPredictions: BooleanParam

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    Attributes
    protected
  253. val labelCol: Param[String]

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    Attributes
    protected
  254. val lambdaMinRatio: DoubleParam

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    Attributes
    protected
  255. val lambdaSearch: BooleanParam

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    Attributes
    protected
  256. val lambdaValue: NullableDoubleArrayParam

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    Attributes
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  257. val link: NullableStringParam

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    Attributes
    protected
  258. def log: Logger

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

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

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

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

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

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

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    Attributes
    protected
    Definition Classes
    Logging
  265. def logName: String

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

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

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

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

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

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    Attributes
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    Definition Classes
    ParameterConstructorMethods
  271. val maxActivePredictors: IntParam

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    Attributes
    protected
  272. val maxAfterBalanceSize: FloatParam

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    Attributes
    protected
  273. val maxConfusionMatrixSize: IntParam

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    Attributes
    protected
  274. val maxIterations: IntParam

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    Attributes
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  275. val maxIterationsDispersion: IntParam

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    Attributes
    protected
  276. val maxRuntimeSecs: DoubleParam

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    Attributes
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  277. val missingValuesHandling: NullableStringParam

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    Attributes
    protected
  278. final val modelCategory: NullableStringParam

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    Attributes
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    Definition Classes
    H2OMOJOModel
  279. final val modelDetails: NullableStringParam

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

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    Attributes
    protected
    Definition Classes
    H2OMOJOModel
  281. final def ne(arg0: AnyRef): Boolean

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

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    Attributes
    protected
    Definition Classes
    H2OMOJOModelUtils
  283. val nfolds: IntParam

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    Attributes
    protected
  284. val nlambdas: IntParam

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    Attributes
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  285. val nonNegative: BooleanParam

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    Attributes
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  286. val nonSerializableField: AnyRef

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

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

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

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    Attributes
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  290. def nullableDataFrameParam(name: String, doc: String): NullableDataFrameParam

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

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

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

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

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    Attributes
    protected
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    ParameterConstructorMethods
  295. def nullableStringArrayArrayParam(name: String, doc: String): NullableStringArrayArrayParam

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    Attributes
    protected
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    ParameterConstructorMethods
  296. def nullableStringArrayParam(name: String, doc: String): NullableStringArrayParam

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

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

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    Attributes
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  299. val objReg: DoubleParam

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    Attributes
    protected
  300. val objectiveEpsilon: DoubleParam

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    Attributes
    protected
  301. def outputColumnName: String

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

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    Attributes
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    ParameterConstructorMethods
  303. lazy val params: Array[Param[_]]

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

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

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    Attributes
    protected
    Definition Classes
    H2OAlgorithmMOJOParams
  306. val prior: DoubleParam

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    Attributes
    protected
  307. val randomFamily: NullableStringArrayParam

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    Attributes
    protected
  308. val randomLink: NullableStringArrayParam

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    Attributes
    protected
  309. val removeCollinearCols: BooleanParam

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    Attributes
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  310. final val runTime: LongParam

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

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    Definition Classes
    MLWritable
    Annotations
    @Since( "1.6.0" ) @throws( ... )
  312. val scoreEachIteration: BooleanParam

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    Attributes
    protected
  313. val scoreIterationInterval: IntParam

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    Attributes
    protected
  314. final val scoringHistory: NullableDataFrameParam

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    Attributes
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    Definition Classes
    H2OMOJOModel
  315. val seed: LongParam

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    Attributes
    protected
  316. final def set(paramPair: ParamPair[_]): H2OGLMMOJOModel.this.type

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    Attributes
    protected
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    Params
  317. final def set(param: String, value: Any): H2OGLMMOJOModel.this.type

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    Attributes
    protected
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    Params
  318. final def set[T](param: Param[T], value: T): H2OGLMMOJOModel.this.type

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    Definition Classes
    Params
  319. def setDataFrameSerializer(fullClassName: String): H2OGLMMOJOModel.this.type

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    Definition Classes
    H2OBaseMOJOParams
  320. final def setDefault(paramPairs: ParamPair[_]*): H2OGLMMOJOModel.this.type

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    Attributes
    protected
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    Params
  321. final def setDefault[T](param: Param[T], value: T): H2OGLMMOJOModel.this.type

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    Attributes
    protected
    Definition Classes
    Params
  322. def setMojo(mojo: File): H2OGLMMOJOModel.this.type

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    Definition Classes
    HasMojo
  323. def setMojo(mojo: InputStream, mojoName: String): H2OGLMMOJOModel.this.type

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    Definition Classes
    HasMojo
  324. def setMojo(mojo: InputStream): H2OGLMMOJOModel.this.type

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

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    Definition Classes
    Model
  326. val solver: NullableStringParam

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    Attributes
    protected
  327. val standardize: BooleanParam

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    Attributes
    protected
  328. final val startTime: LongParam

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    Attributes
    protected
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    H2OMOJOModel
  329. val startval: NullableDoubleArrayParam

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    Attributes
    protected
  330. val stoppingMetric: NullableStringParam

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    Attributes
    protected
  331. val stoppingRounds: IntParam

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    Attributes
    protected
  332. val stoppingTolerance: DoubleParam

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

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

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

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    Definition Classes
    AnyRef
  336. val theta: DoubleParam

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    Attributes
    protected
  337. def toString(): String

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

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

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

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

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

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

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

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

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    Attributes
    protected
    Definition Classes
    PipelineStage
    Annotations
    @DeveloperApi()
  346. val tweedieEpsilon: DoubleParam

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  347. val tweedieLinkPower: DoubleParam

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    Attributes
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  348. val tweedieVariancePower: DoubleParam

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    Attributes
    protected
  349. val uid: String

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    Definition Classes
    H2OGLMMOJOModelH2OSupervisedMOJOModelH2OAlgorithmMOJOModel → Identifiable
  350. 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
  351. final val validationMetrics: MapStringDoubleParam

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    Attributes
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    Definition Classes
    H2OMOJOModel
  352. final val validationMetricsObject: NullableMetricsParam

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

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

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

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

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    Attributes
    protected
  357. final val withContributions: BooleanParam

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

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

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    Attributes
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    Definition Classes
    H2OAlgorithmMOJOParams
  360. def write: MLWriter

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    Definition Classes
    H2OMOJOWritable → MLWritable

Inherited from HasIgnoredColsOnMOJO

Inherited from H2OSupervisedMOJOModel

Inherited from H2OSupervisedMOJOParams

Inherited from H2OAlgorithmMOJOModel

Inherited from H2OAlgorithmMOJOParams

Inherited from H2OMOJOPrediction

Inherited from H2OMOJOPredictionOrdinal

Inherited from H2OMOJOPredictionCoxPH

Inherited from H2OMOJOPredictionBinomial

Inherited from H2OMOJOPredictionAnomaly

Inherited from H2OMOJOModel

Inherited from HasFeatureTypesOnMOJO

Inherited from H2OBaseMOJOParams

Inherited from HasDataFrameSerializer

Inherited from SpecificMOJOParameters

Inherited from H2OMOJOModelUtils

Inherited from Logging

Inherited from H2OMOJOWritable

Inherited from MLWritable

Inherited from HasMojo

Inherited from H2OMOJOFlattenedInput

Inherited from Model[H2OMOJOModel]

Inherited from Transformer

Inherited from PipelineStage

Inherited from Logging

Inherited from Params

Inherited from Serializable

Inherited from Serializable

Inherited from Identifiable

Inherited from AnyRef

Inherited from Any

Ungrouped