object FactoredFrontier

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  1. final def !=(arg0: Any): Boolean
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  4. def apply(initial: Universe, transition: (Universe) ⇒ Universe, stepTimeMillis: Long): FactoredFrontier

    A Factored Frontier that runs with anytime Belief Propagation.

    A Factored Frontier that runs with anytime Belief Propagation.

    initial

    The universe describing the distribution over the initial state of the system.

    transition

    The transition model describing how the current state of the system depends on the previous.

    stepTimeMillis

    The time, in milliseconds, for which to run Belief Propagation at each time step.

  5. def apply(static: Universe, initial: Universe, transition: (Universe, Universe) ⇒ Universe, stepTimeMillis: Long): FactoredFrontier

    A Factored Frontier that runs with anytime Belief Propagation and a static universe.

    A Factored Frontier that runs with anytime Belief Propagation and a static universe.

    static

    The universe of elements that do not change over time.

    initial

    The universe describing the distribution over the initial state of the system.

    transition

    The transition model describing how the current state of the system depends on the static and previous, respectively.

    stepTimeMillis

    The time, in milliseconds, for which to run Belief Propagation at each time step.

  6. def apply(initial: Universe, transition: (Universe) ⇒ Universe, iterations: Int): FactoredFrontier

    A Factored Frontier that runs with one time Belief Propagation.

    A Factored Frontier that runs with one time Belief Propagation.

    initial

    The universe describing the distribution over the initial state of the system.

    transition

    The transition model describing how the current state of the system depends on the previous.

    iterations

    The number of iterations with which to run Belief Propagation at each time step.

  7. def apply(static: Universe, initial: Universe, transition: (Universe, Universe) ⇒ Universe, iterations: Int): FactoredFrontier

    A Factored Frontier that runs with one time Belief Propagation and a static universe.

    A Factored Frontier that runs with one time Belief Propagation and a static universe.

    static

    The universe of elements that do not change over time.

    initial

    The universe describing the distribution over the initial state of the system.

    transition

    The transition model describing how the current state of the system depends on the static and previous, respectively.

    iterations

    The number of iterations with which to run Belief Propagation at each time step.

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