Struct ndarray_rand::rand_distr::Beta

pub struct Beta<F> where
    F: Float,
    Open01: Distribution<F>,  { /* fields omitted */ }

The Beta distribution with shape parameters alpha and beta.

Example

use rand_distr::{Distribution, Beta};

let beta = Beta::new(2.0, 5.0).unwrap();
let v = beta.sample(&mut rand::thread_rng());
println!("{} is from a Beta(2, 5) distribution", v);

Implementations

impl<F> Beta<F> where
    F: Float,
    Open01: Distribution<F>, 

pub fn new(alpha: F, beta: F) -> Result<Beta<F>, BetaError>

Construct an object representing the Beta(alpha, beta) distribution.

Trait Implementations

impl<F> Clone for Beta<F> where
    F: Clone + Float,
    Open01: Distribution<F>, 

pub fn clone(&self) -> Beta<F>

Returns a copy of the value.

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

Performs copy-assignment from source.

impl<F> Copy for Beta<F> where
    F: Copy + Float,
    Open01: Distribution<F>, 

impl<F> Debug for Beta<F> where
    F: Debug + Float,
    Open01: Distribution<F>, 

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

Formats the value using the given formatter.

impl<F> Distribution<F> for Beta<F> where
    F: Float,
    Open01: Distribution<F>, 

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

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

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

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