[−][src]Trait markovian::Transition

pub trait Transition<T, O> {
    fn sample_from<R: ?Sized>(&self, state: &T, rng: &mut R) -> O
    where
        R: Rng;
}

Abstraction over transition matrix.

Remarks

Output parameter O allows sampling more than only the next state, for example, continuous markov chains are able to sample both a new state and a time step.

Required methods

`fn sample_from<R: ?Sized>(&self, state: &T, rng: &mut R) -> O where R: Rng,`

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Implementors

`impl<T, O, F, D> Transition<T, O> for F where F: Fn(&T) -> D, D: Distribution<O>,` [src]

`fn sample_from<R: ?Sized>(&self, state: &T, rng: &mut R) -> O where R: Rng,` [src]