Class

ai.h2o.sparkling.ml.models

H2OAlgorithmMOJOModel

Related Doc: package models

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class H2OAlgorithmMOJOModel extends H2OMOJOModel with H2OMOJOPrediction with H2OAlgorithmMOJOParams

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

  1. new H2OAlgorithmMOJOModel(uid: String)

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Value Members

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

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

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

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

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

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

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    Attributes
    protected
    Definition Classes
    H2OMOJOModelH2OMOJOFlattenedInput
  7. final def asInstanceOf[T0]: T0

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    Definition Classes
    Any
  8. final def clear(param: Param[_]): H2OAlgorithmMOJOModel.this.type

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    Definition Classes
    Params
  9. def clone(): AnyRef

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    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  10. final val convertInvalidNumbersToNa: BooleanParam

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

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

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

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

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

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

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

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    Attributes
    protected
    Definition Classes
    H2OMOJOModel
  18. final def defaultCopy[T <: Params](extra: ParamMap): T

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    Attributes
    protected
    Definition Classes
    Params
  19. final val detailedPredictionCol: Param[String]

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    Attributes
    protected
    Definition Classes
    H2OAlgorithmMOJOParams
  20. final def eq(arg0: AnyRef): Boolean

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

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

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    Definition Classes
    Params
  23. def explainParams(): String

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    Definition Classes
    Params
  24. def extractAnomalyPredictionColContent(): Column

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    Definition Classes
    H2OMOJOPredictionAnomaly
  25. def extractBinomialPredictionColContent(): Column

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    Definition Classes
    H2OMOJOPredictionBinomial
  26. def extractClusteringPredictionColContent(): Column

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    Definition Classes
    H2OMOJOPredictionClustering
  27. def extractCoxPHPredictionColContent(): Column

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

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

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  30. def extractFeatureImportances(outputJson: JsonObject): DataFrame

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

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

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

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

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

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    Definition Classes
    H2OMOJOPredictionMultinomial
  36. def extractOrdinalPredictionColContent(): Column

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

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

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

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

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    Definition Classes
    H2OMOJOPrediction
  41. def extractRegressionPredictionColContent(): Column

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

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

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  44. final val featureImportances: NullableDataFrameParam

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

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

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

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    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] )
  48. final def get[T](param: Param[T]): Option[T]

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

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    Definition Classes
    H2OMOJOPredictionAnomaly
  50. def getAnomalyPredictionSchema(): StructType

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    Definition Classes
    H2OMOJOPredictionAnomaly
  51. def getAnomalyPredictionUDF(): UserDefinedFunction

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

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    Definition Classes
    H2OMOJOPredictionBinomial
  53. def getBinomialPredictionSchema(): StructType

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    Definition Classes
    H2OMOJOPredictionBinomial
  54. def getBinomialPredictionUDF(): UserDefinedFunction

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

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

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    Definition Classes
    H2OMOJOPredictionClustering
  57. def getClusteringPredictionSchema(): StructType

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    Definition Classes
    H2OMOJOPredictionClustering
  58. def getClusteringPredictionUDF(): UserDefinedFunction

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

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

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    Definition Classes
    H2OBaseMOJOParams
  61. def getConvertUnknownCategoricalLevelsToNa(): Boolean

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

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    Definition Classes
    H2OMOJOPredictionCoxPH
  63. def getCoxPHPredictionSchema(): StructType

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    Definition Classes
    H2OMOJOPredictionCoxPH
  64. def getCoxPHPredictionUDF(): UserDefinedFunction

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    Definition Classes
    H2OMOJOPredictionCoxPH
  65. 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
  66. 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
  67. 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
  68. def getCrossValidationModels(): Seq[H2OAlgorithmMOJOModel.this.type]

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    Definition Classes
    H2OMOJOModel
  69. 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
  70. 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
  71. final def getDefault[T](param: Param[T]): Option[T]

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    Definition Classes
    Params
  72. def getDetailedPredictionCol(): String

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

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

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  75. def getDimReductionPredictionSchema(): StructType

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  76. def getDimReductionPredictionUDF(): UserDefinedFunction

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

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    Definition Classes
    H2OMOJOModel
  78. def getFeatureImportances(): DataFrame

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

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

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    Definition Classes
    H2OAlgorithmMOJOParams
  81. def getModelCategory(): String

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    Definition Classes
    H2OMOJOModel
  82. def getModelDetails(): String

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

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

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

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    Definition Classes
    H2OMOJOPredictionMultinomial
  86. def getMultinomialPredictionSchema(): StructType

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    Definition Classes
    H2OMOJOPredictionMultinomial
  87. def getMultinomialPredictionUDF(): UserDefinedFunction

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    Definition Classes
    H2OMOJOPredictionMultinomial
  88. def getNamedMojoOutputColumns(): Boolean

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    Definition Classes
    H2OAlgorithmMOJOParams
  89. final def getOrDefault[T](param: Param[T]): T

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

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    Definition Classes
    H2OMOJOPredictionOrdinal
  91. def getOrdinalPredictionSchema(): StructType

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    Definition Classes
    H2OMOJOPredictionOrdinal
  92. def getOrdinalPredictionUDF(): UserDefinedFunction

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

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    Definition Classes
    Params
  94. def getPredictionCol(): String

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

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    Definition Classes
    H2OMOJOPrediction
  96. def getPredictionSchema(): StructType

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    Definition Classes
    H2OMOJOPrediction
  97. def getPredictionUDF(): UserDefinedFunction

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

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    Definition Classes
    H2OMOJOPredictionRegression
  99. def getRegressionPredictionSchema(): StructType

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    Definition Classes
    H2OMOJOPredictionRegression
  100. def getRegressionPredictionUDF(): UserDefinedFunction

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

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    Attributes
    protected
    Definition Classes
    H2OMOJOFlattenedInput
  102. def getScoringHistory(): DataFrame

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    Definition Classes
    H2OMOJOModel
  103. def getStageProbabilitiesSchema(model: EasyPredictModelWrapper): DataType

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    Attributes
    protected
    Definition Classes
    PredictionWithStageProbabilities
  104. 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
  105. 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
  106. def getTrainingParams(): Map[String, String]

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    Definition Classes
    H2OMOJOModel
  107. 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
  108. 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
  109. def getWithContributions(): Boolean

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    Definition Classes
    H2OAlgorithmMOJOParams
  110. def getWithDetailedPredictionCol(): Boolean

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    Definition Classes
    H2OAlgorithmMOJOParams
    Annotations
    @DeprecatedMethod( x$2 , x$1 )
  111. def getWithLeafNodeAssignments(): Boolean

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    Definition Classes
    H2OAlgorithmMOJOParams
  112. def getWithStageResults(): Boolean

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

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  114. def getWordEmbeddingPredictionSchema(): StructType

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  115. def getWordEmbeddingPredictionUDF(): UserDefinedFunction

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

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    Params
  117. def hasParam(paramName: String): Boolean

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    Definition Classes
    Params
  118. def hasParent: Boolean

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    Definition Classes
    Model
  119. def hashCode(): Int

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    Definition Classes
    AnyRef → Any
  120. def initializeLogIfNecessary(isInterpreter: Boolean): Unit

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

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    Attributes
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    Definition Classes
    H2OAlgorithmMOJOModelH2OMOJOFlattenedInput
  122. final def isDefined(param: Param[_]): Boolean

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  123. final def isInstanceOf[T0]: Boolean

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    Any
  124. final def isSet(param: Param[_]): Boolean

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    Definition Classes
    Params
  125. def isTraceEnabled(): Boolean

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

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    Attributes
    protected
    Definition Classes
    H2OMOJOModelUtils
  127. def log: Logger

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

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    Attributes
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    Logging
  129. def logDebug(msg: ⇒ String): Unit

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

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

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

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

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    Definition Classes
    Logging
  134. def logName: String

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

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

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

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

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    protected
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    Logging
  139. final val modelCategory: NullableStringParam

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

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

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

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    Definition Classes
    AnyRef
  143. final def notify(): Unit

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

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    Definition Classes
    AnyRef
  145. def outputColumnName: String

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    Attributes
    protected
    Definition Classes
    H2OAlgorithmMOJOModelH2OMOJOFlattenedInput
  146. lazy val params: Array[Param[_]]

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

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

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    Attributes
    protected
    Definition Classes
    H2OAlgorithmMOJOParams
  149. def save(path: String): Unit

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

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    Attributes
    protected
    Definition Classes
    H2OMOJOModel
  151. final def set(paramPair: ParamPair[_]): H2OAlgorithmMOJOModel.this.type

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    Attributes
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    Params
  152. final def set(param: String, value: Any): H2OAlgorithmMOJOModel.this.type

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    Attributes
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    Params
  153. final def set[T](param: Param[T], value: T): H2OAlgorithmMOJOModel.this.type

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    Definition Classes
    Params
  154. final def setDefault(paramPairs: ParamPair[_]*): H2OAlgorithmMOJOModel.this.type

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    Attributes
    protected
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    Params
  155. final def setDefault[T](param: Param[T], value: T): H2OAlgorithmMOJOModel.this.type

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    Attributes
    protected
    Definition Classes
    Params
  156. def setMojo(mojo: File): H2OAlgorithmMOJOModel.this.type

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    Definition Classes
    HasMojo
  157. def setMojo(mojo: InputStream, mojoName: String): H2OAlgorithmMOJOModel.this.type

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    Definition Classes
    HasMojo
  158. def setMojo(mojo: InputStream): H2OAlgorithmMOJOModel.this.type

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

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    Definition Classes
    Model
  160. final def synchronized[T0](arg0: ⇒ T0): T0

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    Definition Classes
    AnyRef
  161. def toString(): String

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

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

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

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

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

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

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

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    Definition Classes
    H2OAlgorithmMOJOModel → PipelineStage
    Annotations
    @DeveloperApi()
  169. def transformSchema(schema: StructType, logging: Boolean): StructType

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    Attributes
    protected
    Definition Classes
    PipelineStage
    Annotations
    @DeveloperApi()
  170. val uid: String

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    Definition Classes
    H2OAlgorithmMOJOModel → Identifiable
  171. 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
  172. final val validationMetrics: MapStringDoubleParam

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

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

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

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

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  177. final val withContributions: BooleanParam

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    Attributes
    protected
    Definition Classes
    H2OAlgorithmMOJOParams
  178. final val withDetailedPredictionCol: BooleanParam

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

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    Definition Classes
    H2OAlgorithmMOJOParams
  180. final val withStageResults: BooleanParam

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    Definition Classes
    H2OAlgorithmMOJOParams
  181. def write: MLWriter

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    Definition Classes
    H2OMOJOWritable → MLWritable

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 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