Struct Random 

pub struct Random<F: Float, R: Rng> { /* private fields */ }

The Random design consists in drawing samples randomly.

Implementations

impl<F: Float> Random<F, Xoshiro256Plus>

pub fn new(xlimits: &ArrayBase<impl Data<Elem = F>, Ix2>) -> Self

Constructor given a design space given a (nx, 2) matrix [[lower bound, upper bound], …]

use egobox_doe::Random;
use ndarray::arr2;

let doe = Random::new(&arr2(&[[0.0, 1.0], [5.0, 10.0]]));

impl<F: Float, R: Rng> Random<F, R>

pub fn new_with_rng( xlimits: &ArrayBase<impl Data<Elem = F>, Ix2>, rng: R, ) -> Self

Constructor given a design space given a (nx, 2) matrix [[lower bound, upper bound], …] and a random generator for reproducibility

Panics if xlimits number of columns is different from 2.

pub fn with_rng<R2: Rng>(self, rng: R2) -> Random<F, R2>

Set random generator

Trait Implementations

impl<F: Clone + Float, R: Clone + Rng> Clone for Random<F, R>

fn clone(&self) -> Random<F, R>

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl<F: Debug + Float, R: Debug + Rng> Debug for Random<F, R>

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

Formats the value using the given formatter.

impl<F: Float, R: Rng> SamplingMethod<F> for Random<F, R>

fn sampling_space(&self) -> &Array2<F>

Returns the bounds of the sample space

fn normalized_sample(&self, ns: usize) -> Array2<F>

Generates a (ns, nx)-shaped array of samples belonging to [0., 1.]^nx

fn sample(&self, ns: usize) -> Array2<F>

Generates a (ns, nx)-shaped array of samples belonging to [lower_bound_xi, upper_bound_xi]^nx