Struct rand::distributions::gamma::GammaSmallShape

struct GammaSmallShape {
    inv_shape: f64,
    large_shape: GammaLargeShape,
}

Gamma distribution where the shape parameter is less than 1.

Note, samples from this require a compulsory floating-point pow call, which makes it significantly slower than sampling from a gamma distribution where the shape parameter is greater than or equal to 1.

See Gamma for sampling from a Gamma distribution with general shape parameters.

Fields

inv_shape: f64

large_shape: GammaLargeShape

Methods

impl GammaSmallShape

fn new_raw(shape: f64, scale: f64) -> GammaSmallShape

Trait Implementations

impl Clone for GammaSmallShape

fn clone(&self) -> GammaSmallShape

Returns a copy of the value.

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

Performs copy-assignment from source.

impl Copy for GammaSmallShape

impl Debug for GammaSmallShape

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

Formats the value using the given formatter.

impl Distribution<f64> for GammaSmallShape

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.