Struct compute::distributions::Exponential

pub struct Exponential { /* fields omitted */ }

Implements the Exponential distribution.

Implementations

impl Exponential

pub fn new(lambda: f64) -> Self

Create a new Exponential distribution with rate parameter lambda.

Errors

Panics if lambda <= 0.

pub fn set_lambda(&mut self, lambda: f64) -> &mut Self

Trait Implementations

impl Clone for Exponential

pub fn clone(&self) -> Exponential

Returns a copy of the value.

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

Performs copy-assignment from source.

impl Continuous for Exponential

pub fn pdf(&self, x: f64) -> f64

Calculates the probability density function for the given Exponential distribution at x.

Remarks

Returns 0. if x is negative.

impl Copy for Exponential

impl Debug for Exponential

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

Formats the value using the given formatter.

impl Default for Exponential

pub fn default() -> Self

Returns the "default value" for a type.

impl Distribution for Exponential

pub fn sample(&self) -> f64

Samples from the given Exponential distribution.

Remarks

Uses the inverse transform sampling method.

pub fn update(&mut self, params: &[f64])

pub fn sample_vec(&self, n: usize) -> Vec<f64>

Generates a vector of n randomly sampled values from the given probability distribution.

pub fn vector(&self, shape: usize) -> Array<f64, Ix1>

Creates an 1d array with values sampled from the given distribution.

pub fn matrix(&self, shape: (usize, usize)) -> Array<f64, Ix2>

Creates an 2d matrix with values sampled from the given distribution.

impl Mean for Exponential

pub fn mean(&self) -> f64

Returns the mean of the given exponential distribution.

impl Variance for Exponential

pub fn var(&self) -> f64