Struct rand::distributions::Weibull

[+] Show declaration

pub struct Weibull { /* fields omitted */ }

[−] Expand description

Samples floating-point numbers according to the Weibull distribution

Example

use rand::prelude::*;
use rand::distributions::Weibull;

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

Methods

impl Weibull[−]

pub fn new(scale: f64, shape: f64) -> Weibull[−]

Construct a new Weibull distribution with given scale and shape.

Panics

scale and shape have to be non-zero and positive.

Trait Implementations

impl Distribution<f64> for Weibull[+]

[+] Show hidden undocumented items

fn sample<R: Rng + ?Sized>(&self, rng: &mut R) -> f64[−]

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

Important traits for DistIter<'a, D, R, T>

impl<'a, D, R, T> Iterator for DistIter<'a, D, R, T> where
    D: Distribution<T>,
    R: Rng + 'a,  type Item = T;

fn sample_iter<'a, R>(&'a self, rng: &'a mut R) -> DistIter<'a, Self, R, T> where
    Self: Sized,
    R: Rng, [−]

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

impl Clone for Weibull[+]

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fn clone(&self) -> Weibull[−]

Returns a copy of the value.

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

Performs copy-assignment from source.

impl Copy for Weibull

impl Debug for Weibull[+]

[+] Show hidden undocumented items

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

Formats the value using the given formatter.