Struct ndarray_rand::rand_distr::Weibull

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

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>,

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

Returns a copy of the value.

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

Performs copy-assignment from source.

impl<F> Debug for Weibull<F>

where F: Debug + Float, OpenClosed01: Distribution<F>,

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>,

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.

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.

fn map<F, S>(self, func: F) -> DistMap<Self, F, T, S>

where F: Fn(T) -> S, Self: Sized,

Create a distribution of values of ‘S’ by mapping the output of Self through the closure F

impl<F> Copy for Weibull<F>

where F: Copy + Float, OpenClosed01: Distribution<F>,