Struct rand_distr::Dirichlet [−][src]
pub struct Dirichlet<F> where
F: Float,
StandardNormal: Distribution<F>,
Exp1: Distribution<F>,
Open01: Distribution<F>, { /* fields omitted */ }
Expand description
The Dirichlet distribution Dirichlet(alpha)
.
The Dirichlet distribution is a family of continuous multivariate probability distributions parameterized by a vector alpha of positive reals. It is a multivariate generalization of the beta distribution.
Example
use rand::prelude::*; use rand_distr::Dirichlet; let dirichlet = Dirichlet::new(&[1.0, 2.0, 3.0]).unwrap(); let samples = dirichlet.sample(&mut rand::thread_rng()); println!("{:?} is from a Dirichlet([1.0, 2.0, 3.0]) distribution", samples);
Implementations
impl<F> Dirichlet<F> where
F: Float,
StandardNormal: Distribution<F>,
Exp1: Distribution<F>,
Open01: Distribution<F>,
[src]
impl<F> Dirichlet<F> where
F: Float,
StandardNormal: Distribution<F>,
Exp1: Distribution<F>,
Open01: Distribution<F>,
[src]Construct a new Dirichlet
with the given alpha parameter alpha
.
Requires alpha.len() >= 2
.
Trait Implementations
impl<F: Clone> Clone for Dirichlet<F> where
F: Float,
StandardNormal: Distribution<F>,
Exp1: Distribution<F>,
Open01: Distribution<F>,
[src]
impl<F: Clone> Clone for Dirichlet<F> where
F: Float,
StandardNormal: Distribution<F>,
Exp1: Distribution<F>,
Open01: Distribution<F>,
[src]impl<F: Debug> Debug for Dirichlet<F> where
F: Float,
StandardNormal: Distribution<F>,
Exp1: Distribution<F>,
Open01: Distribution<F>,
[src]
impl<F: Debug> Debug for Dirichlet<F> where
F: Float,
StandardNormal: Distribution<F>,
Exp1: Distribution<F>,
Open01: Distribution<F>,
[src]impl<F> Distribution<Vec<F, Global>> for Dirichlet<F> where
F: Float,
StandardNormal: Distribution<F>,
Exp1: Distribution<F>,
Open01: Distribution<F>,
[src]
impl<F> Distribution<Vec<F, Global>> for Dirichlet<F> where
F: Float,
StandardNormal: Distribution<F>,
Exp1: Distribution<F>,
Open01: Distribution<F>,
[src]Generate a random value of T
, using rng
as the source of randomness.
Create an iterator that generates random values of T
, using rng
as
the source of randomness. Read more
Auto Trait Implementations
impl<F> RefUnwindSafe for Dirichlet<F> where
F: RefUnwindSafe,
impl<F> UnwindSafe for Dirichlet<F> where
F: UnwindSafe,
Blanket Implementations
Mutably borrows from an owned value. Read more
pub fn vzip(self) -> V