Struct rand_distr::Weibull

[+] Show declaration

pub struct Weibull<N> { /* fields omitted */ }

[−] Expand description

Samples floating-point numbers according to the Weibull distribution

Example

use rand::prelude::*;
use rand_distr::Weibull;

let val: f64 = thread_rng().sample(Weibull::new(1., 10.).unwrap());
println!("{}", val);

Methods

impl<N: Float> Weibull<N> where
    OpenClosed01: Distribution<N>, [−]

pub fn new(scale: N, shape: N) -> Result<Weibull<N>, Error>[−]

Construct a new Weibull distribution with given scale and shape.

Trait Implementations

impl<N: Clone> Clone for Weibull<N>[+]

[+] Show hidden undocumented items

fn clone(&self) -> Weibull<N>[−]

Returns a copy of the value.

fn clone_from(&mut self, source: &Self)[−]

Performs copy-assignment from source.

impl<N: Copy> Copy for Weibull<N>

impl<N: Debug> Debug for Weibull<N>[+]

[+] Show hidden undocumented items

fn fmt(&self, f: &mut Formatter) -> Result[−]

Formats the value using the given formatter.

impl<N: Float> Distribution<N> for Weibull<N> where
    OpenClosed01: Distribution<N>, [+]

[+] Show hidden undocumented items

fn sample<R: Rng + ?Sized>(&self, rng: &mut R) -> N[−]

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, [−]

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