thinkbayes

Suite

trait Suite[H, D] extends AnyRef

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  1. abstract def likelihood(data: D, hypo: H): Double

    Computes the likelihood of a given data under an hypothesis.

    Computes the likelihood of a given data under an hypothesis.

    data

    the representation of the data whose likelihood is to be returned

    hypo

    the representation of the hypothesis

    returns

    the likelihood of the given data under the given hypothesis.

  2. abstract def pmf: Pmf[H]

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  2. final def ##(): Int

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  13. final def notify(): Unit

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  14. final def notifyAll(): Unit

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  15. def observed(dataset: D*): Suite[H, D]

  16. def observed(data: D): Suite[H, D]

    Updates each hypothesis based on the given data.

    Updates each hypothesis based on the given data. Modifies the suite directly; if you want to keep the original, make a copy.

    data

    the representation of the data to use to update the suite

  17. def observedSet(dataset: TraversableOnce[D]): Suite[H, D]

    Updates each hypothesis based on the dataset.

    Updates each hypothesis based on the dataset. This is more efficient than calling update repeatedly because it waits until the end to normalize. Modifies the suite directly; if you want to keep the original, make a copy.

    dataset

    a sequence of data values to use to update the suite

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

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  19. def toString(): String

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  20. final def wait(): Unit

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

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  22. final def wait(arg0: Long): Unit

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