axle.stats

Model

class Model [MVP] extends AnyRef

Linear Supertypes
AnyRef, Any
Known Subclasses
BayesianNetwork, CausalModel
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  1. Model
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Instance Constructors

  1. new Model (graph: DirectedGraph[MVP, String])

Value Members

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

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  2. def != (arg0: Any): Boolean

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  3. def ## (): Int

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  4. def == (arg0: AnyRef): Boolean

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  5. def == (arg0: Any): Boolean

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  6. def _findOpenPath (visited: Map[axle.stats.RandomVariable[_], Set[axle.stats.RandomVariable[_]]], priorDirection: Int, prior: axle.stats.RandomVariable[_], current: Set[axle.stats.RandomVariable[_]], to: Set[axle.stats.RandomVariable[_]], given: Set[axle.stats.RandomVariable[_]]): Option[List[axle.stats.RandomVariable[_]]]

  7. def asInstanceOf [T0] : T0

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  8. def blocks (from: Set[axle.stats.RandomVariable[_]], to: Set[axle.stats.RandomVariable[_]], given: Set[axle.stats.RandomVariable[_]]): Boolean

  9. def clone (): AnyRef

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  10. def eq (arg0: AnyRef): Boolean

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  11. def equals (arg0: Any): Boolean

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  12. def finalize (): Unit

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  13. def getClass (): java.lang.Class[_]

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  14. def hashCode (): Int

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  15. def isInstanceOf [T0] : Boolean

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  16. def name (): String

  17. def ne (arg0: AnyRef): Boolean

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  18. def notify (): Unit

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  19. def notifyAll (): Unit

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  20. def numVariables (): Int

  21. def randomVariables (): List[axle.stats.RandomVariable[_]]

  22. def synchronized [T0] (arg0: ⇒ T0): T0

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  23. def toString (): String

    Definition Classes
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  24. def variable (name: String): axle.stats.RandomVariable[_]

  25. def vertexPayloadToRandomVariable (mvp: MVP): axle.stats.RandomVariable[_]

  26. def wait (): Unit

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  27. def wait (arg0: Long, arg1: Int): Unit

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  28. def wait (arg0: Long): Unit

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