pub struct Zipf<F>{ /* private fields */ }
Expand description
Samples integers according to the Zipf distribution.
The samples follow Zipf’s law: The frequency of each sample from a finite
set of size n
is inversely proportional to a power of its frequency rank
(with exponent s
).
For large n
, this converges to the Zeta
distribution.
For s = 0
, this becomes a uniform distribution.
§Example
use rand::prelude::*;
use rand_distr::Zipf;
let val: f64 = thread_rng().sample(Zipf::new(10, 1.5).unwrap());
println!("{}", val);
§Implementation details
Implemented via rejection sampling, due to Jason Crease1.
Implementations§
Trait Implementations§
Source§impl<F> Distribution<F> for Zipf<F>
impl<F> Distribution<F> for Zipf<F>
impl<F> Copy for Zipf<F>
Auto Trait Implementations§
impl<F> Freeze for Zipf<F>where
F: Freeze,
impl<F> RefUnwindSafe for Zipf<F>where
F: RefUnwindSafe,
impl<F> Send for Zipf<F>where
F: Send,
impl<F> Sync for Zipf<F>where
F: Sync,
impl<F> Unpin for Zipf<F>where
F: Unpin,
impl<F> UnwindSafe for Zipf<F>where
F: UnwindSafe,
Blanket Implementations§
Source§impl<T> BorrowMut<T> for Twhere
T: ?Sized,
impl<T> BorrowMut<T> for Twhere
T: ?Sized,
Source§fn borrow_mut(&mut self) -> &mut T
fn borrow_mut(&mut self) -> &mut T
Mutably borrows from an owned value. Read more
Source§impl<T> CloneToUninit for Twhere
T: Clone,
impl<T> CloneToUninit for Twhere
T: Clone,
Layout§
Note: Unable to compute type layout, possibly due to this type having generic parameters. Layout can only be computed for concrete, fully-instantiated types.