com.cra.figaro.algorithm.decision

DecisionVariableElimination

object DecisionVariableElimination

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  4. def apply[T, U](dependentUniverses: List[(Universe, List[NamedEvidence[_]])], dependentAlgorithm: (Universe, List[NamedEvidence[_]]) ⇒ () ⇒ Double, utilityNodes: List[Element[_]], target: Decision[T, U])(implicit universe: Universe): ProbQueryVariableEliminationDecision[T, U]

    Create a decision variable elimination algorithm with the given decision variables and indicated utility nodes and using the given dependent universes in the current default universe.

    Create a decision variable elimination algorithm with the given decision variables and indicated utility nodes and using the given dependent universes in the current default universe. Use the given dependent algorithm function to determine the algorithm to use to compute probability of evidence in each dependent universe.

  5. def apply[T, U](dependentUniverses: List[(Universe, List[NamedEvidence[_]])], utilityNodes: List[Element[_]], target: Decision[T, U])(implicit universe: Universe): ProbQueryVariableEliminationDecision[T, U]

    Create a decision variable elimination algorithm with the given decision variables and indicated utility nodes and using the given dependent universes in the current default universe.

  6. def apply[T, U](utilityNodes: List[Element[_]], target: Decision[T, U])(implicit universe: Universe): ProbQueryVariableEliminationDecision[T, U]

    Create a decision variable elimination instance with the given decision variables and indicated utility nodes.

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