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com.cra.figaro.algorithm.factored.gibbs

WalkSAT

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object WalkSAT

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

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  4. def apply[T](factors: List[Factor[T]], variables: Set[Variable[_]], semiring: Semiring[T], chainMapper: (Chain[_, _]) ⇒ Set[Variable[_]], prob: Double = 0.1, maxIterations: Int = 100000): Map[Variable[_], Int]

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    Produce an assignment of values to variables constrained by the given factors.

    Produce an assignment of values to variables constrained by the given factors.

    factors

    The factors with which to constrain the variables.

    variables

    The set of variables over which to compute a sample.

    semiring

    The semiring used in the factors.

    prob

    The probability of reassigning a random variable in a factor instead of taking the greedy approach.

    maxIterations

    Maximum number of iterations to run before throwing an exception for taking too long.

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