Struct rand::distributions::Weibull

pub struct Weibull { /* fields omitted */ }

Deprecated since 0.7.0:

moved to rand_distr crate

Samples floating-point numbers according to the Weibull distribution

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 Clone for Weibull

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

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

Formats the value using the given formatter.

impl Distribution<f64> for Weibull

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<D, R, T>

impl<D, R, T> Iterator for DistIter<D, R, T> where
    D: Distribution<T>,
    R: Rng,  type Item = T;

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.