Struct rand_distr::Dirichlet

pub struct Dirichlet<F>
where
    F: Float,
    StandardNormal: Distribution<F>,
    Exp1: Distribution<F>,
    Open01: Distribution<F>,
{ /* private fields */ }

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>,

pub fn new(alpha: &[F]) -> Result<Dirichlet<F>, Error>

Construct a new Dirichlet with the given alpha parameter alpha.

Requires alpha.len() >= 2.

pub fn new_with_size(alpha: F, size: usize) -> Result<Dirichlet<F>, Error>

Construct a new Dirichlet with the given shape parameter alpha and size.

Requires size >= 2.

Trait Implementations

impl<F> Clone for Dirichlet<F>

where F: Float + Clone, StandardNormal: Distribution<F>, Exp1: Distribution<F>, Open01: Distribution<F>,

fn clone(&self) -> Dirichlet<F>

Returns a copy of the value.

fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source.

impl<F> Debug for Dirichlet<F>

where F: Float + Debug, StandardNormal: Distribution<F>, Exp1: Distribution<F>, Open01: Distribution<F>,

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.

impl<F> Distribution<Vec<F>> for Dirichlet<F>

where F: Float, StandardNormal: Distribution<F>, Exp1: Distribution<F>, Open01: Distribution<F>,

fn sample<R: Rng + ?Sized>(&self, rng: &mut R) -> Vec<F>

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

fn sample_iter<R>(self, rng: R) -> DistIter<Self, R, T>

where R: Rng, Self: Sized,

Create an iterator that generates random values of T, using rng as the source of randomness.

fn map<F, S>(self, func: F) -> DistMap<Self, F, T, S>

where F: Fn(T) -> S, Self: Sized,

Create a distribution of values of ‘S’ by mapping the output of Self through the closure F

Layout

Note: Most layout information is completely unstable and may even differ between compilations. The only exception is types with certain repr(...) attributes. Please see the Rust Reference's “Type Layout” chapter for details on type layout guarantees.

Size: 16 bytes