org.pmml4s.model

ModelElement

object ModelElement

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

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  6. val ANOMALY_DETECTION_MODEL: AnomalyDetectionModel.type

  7. val ASSOCIATION_MODEL: AssociationModel.type

  8. object AnomalyDetectionModel extends ModelElement with Product with Serializable

  9. object AssociationModel extends ModelElement with Product with Serializable

  10. val BASELINE_MODEL: BaselineModel.type

  11. val BAYESIAN_NETWORK_MODEL: BayesianNetworkModel.type

  12. object BaselineModel extends ModelElement with Product with Serializable

  13. object BayesianNetworkModel extends ModelElement with Product with Serializable

  14. val CLUSTERING_MODEL: ClusteringModel.type

  15. object ClusteringModel extends ModelElement with Product with Serializable

  16. val DATA_MODEL: DataModel.type

    Defines const variables could be used in Java.

    Defines const variables could be used in Java. Use Object.XXX() instead of Object.xxx$.MODULE$

  17. val DECISION_TREE: DecisionTree.type

  18. object DataModel extends ModelElement with Product with Serializable

  19. object DecisionTree extends ModelElement with Product with Serializable

  20. val GAUSSIAN_PROCESS_MODEL: GaussianProcessModel.type

  21. val GENERAL_REGRESSION_MODEL: GeneralRegressionModel.type

  22. object GaussianProcessModel extends ModelElement with Product with Serializable

  23. object GeneralRegressionModel extends ModelElement with Product with Serializable

  24. val MINING_MODEL: MiningModel.type

  25. object MiningModel extends ModelElement with Product with Serializable

  26. val NAIVE_BAYES_MODEL: NaiveBayesModel.type

  27. val NEAREST_NEIGHBOR_MODEL: NearestNeighborModel.type

  28. val NEURAL_NETWORK: NeuralNetwork.type

  29. object NaiveBayesModel extends ModelElement with Product with Serializable

  30. object NearestNeighborModel extends ModelElement with Product with Serializable

  31. object NeuralNetwork extends ModelElement with Product with Serializable

  32. val REGRESSION: Regression.type

  33. val REGRESSION_MODEL: RegressionModel.type

  34. val RULE_SET_MODEL: RuleSetModel.type

  35. object Regression extends ModelElement with Product with Serializable

  36. object RegressionModel extends ModelElement with Product with Serializable

  37. object RuleSetModel extends ModelElement with Product with Serializable

  38. val SCORECARD: Scorecard.type

  39. val SEQUENCE_MODEL: SequenceModel.type

  40. val SUPPORT_VECTOR_MACHINE_MODEL: SupportVectorMachineModel.type

  41. object Scorecard extends ModelElement with Product with Serializable

  42. object SequenceModel extends ModelElement with Product with Serializable

  43. object SupportVectorMachineModel extends ModelElement with Product with Serializable

  44. val TEXT_MODEL: TextModel.type

  45. val TIME_SERIES_MODEL: TimeSeriesModel.type

  46. val TRANSFORMATION_MODEL: TransformationModel.type

  47. val TREE_MODEL: TreeModel.type

  48. object TextModel extends ModelElement with Product with Serializable

  49. object TimeSeriesModel extends ModelElement with Product with Serializable

  50. object TransformationModel extends ModelElement with Product with Serializable

  51. object TreeModel extends ModelElement with Product with Serializable

  52. final def asInstanceOf[T0]: T0

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  53. def clone(): AnyRef

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  54. final def eq(arg0: AnyRef): Boolean

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  55. def equals(arg0: Any): Boolean

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

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  57. def hashCode(): Int

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  58. final def isInstanceOf[T0]: Boolean

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  59. final def ne(arg0: AnyRef): Boolean

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  60. final def notify(): Unit

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  61. final def notifyAll(): Unit

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

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    (Since version ) see corresponding Javadoc for more information.

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