Struct rand::distributions::Cauchy

pub struct Cauchy { /* fields omitted */ }

The Cauchy distribution Cauchy(median, scale).

This distribution has a density function: f(x) = 1 / (pi * scale * (1 + ((x - median) / scale)^2))

Example

use rand::distributions::{Cauchy, Distribution};

let cau = Cauchy::new(2.0, 5.0);
let v = cau.sample(&mut rand::thread_rng());
println!("{} is from a Cauchy(2, 5) distribution", v);

Methods

impl Cauchy

pub fn new(median: f64, scale: f64) -> Cauchy

Construct a new Cauchy with the given shape parameters median the peak location and scale the scale factor. Panics if scale <= 0.

Trait Implementations

impl Clone for Cauchy

fn clone(&self) -> Cauchy

Returns a copy of the value.

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

Performs copy-assignment from source.

impl Copy for Cauchy

impl Debug for Cauchy

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

Formats the value using the given formatter.

impl Distribution<f64> for Cauchy

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.