Struct ndarray_rand::rand_distr::Weibull

pub struct Weibull<F> where
    F: Float,
    OpenClosed01: Distribution<F>,  { /* fields omitted */ }

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);

Implementations

impl<F> Weibull<F> where
    F: Float,
    OpenClosed01: Distribution<F>, 

pub fn new(scale: F, shape: F) -> Result<Weibull<F>, Error>

Construct a new Weibull distribution with given scale and shape.

Trait Implementations

impl<F> Clone for Weibull<F> where
    F: Clone + Float,
    OpenClosed01: Distribution<F>, 

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

Returns a copy of the value.

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

Performs copy-assignment from source.

impl<F> Copy for Weibull<F> where
    F: Copy + Float,
    OpenClosed01: Distribution<F>, 

impl<F> Debug for Weibull<F> where
    F: Debug + Float,
    OpenClosed01: Distribution<F>, 

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

Formats the value using the given formatter.

impl<F> Distribution<F> for Weibull<F> where
    F: Float,
    OpenClosed01: 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.