Trait rand::distributions::Sample

pub trait Sample<Support> {
    fn sample<R>(&mut self, rng: &mut R) -> Support
    where
        R: Rng;
}

Types that can be used to create a random instance of Support.

Required methods

fn sample<R>(&mut self, rng: &mut R) -> Support where
    R: Rng, 

Generate a random value of Support, using rng as the source of randomness.

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Implementors

impl Sample<f64> for FisherF

fn sample<R>(&mut self, rng: &mut R) -> f64 where     R: Rng,

impl Sample<f64> for Gamma

fn sample<R>(&mut self, rng: &mut R) -> f64 where     R: Rng,

impl Sample<f64> for ChiSquared

fn sample<R>(&mut self, rng: &mut R) -> f64 where     R: Rng,

impl Sample<f64> for Exp

fn sample<R>(&mut self, rng: &mut R) -> f64 where     R: Rng,

impl Sample<f64> for Normal

fn sample<R>(&mut self, rng: &mut R) -> f64 where     R: Rng,

impl Sample<f64> for LogNormal

fn sample<R>(&mut self, rng: &mut R) -> f64 where     R: Rng,

impl Sample<f64> for StudentT

fn sample<R>(&mut self, rng: &mut R) -> f64 where     R: Rng,

impl<'a, T> Sample<T> for WeightedChoice<'a, T> where     T: Clone,

fn sample<R>(&mut self, rng: &mut R) -> T where     R: Rng,

impl<Sup> Sample<Sup> for Range<Sup> where     Sup: SampleRange,

fn sample<R>(&mut self, rng: &mut R) -> Sup where     R: Rng,

impl<Sup> Sample<Sup> for RandSample<Sup> where     Sup: Rand,

fn sample<R>(&mut self, rng: &mut R) -> Sup where     R: Rng,

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