Struct rusty_machine::stats::dist::exponential::Exponential

pub struct Exponential { /* fields omitted */ }

An Exponential random variable.

Methods

impl Exponential

fn new(lambda: f64) -> Exponential

Constructs a new Exponential random variable with given lambda parameter.

fn lambda(&self) -> f64

Returns the lambda parameter.

Trait Implementations

impl Debug for Exponential

fn fmt(&self, __arg_0: &mut Formatter) -> Result

Formats the value using the given formatter.

impl Clone for Exponential

fn clone(&self) -> Exponential

Returns a copy of the value.

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

Performs copy-assignment from source.

impl Copy for Exponential

impl Default for Exponential

The default Exponential random variable.

The defaults are:

• lambda = 1

fn default() -> Exponential

Returns the "default value" for a type.

impl Distribution<f64> for Exponential

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

The pdf of the exponential distribution.

Examples

use rusty_machine::stats::dist::Exponential;
use rusty_machine::stats::dist::Distribution;

// Construct an exponential with lambda parameter 7.0.
let exp = Exponential::new(7f64);

let pdf_zero = exp.pdf(0f64);
assert!((pdf_zero - exp.lambda()).abs() < 1e-20);

fn logpdf(&self, x: f64) -> f64

The log pdf of the exponential distribution.

Examples

// Construct an exponential with lambda parameter 5.0.
use rusty_machine::stats::dist::Exponential;
use rusty_machine::stats::dist::Distribution;

// Construct an exponential with lambda parameter 5.0.
let exp = Exponential::new(5f64);

let log_pdf = exp.logpdf(3f64);

assert!((log_pdf - exp.lambda().ln() + exp.lambda() * 3f64).abs() < 1e-20);

fn cdf(&self, x: f64) -> f64

The cdf of the exponential distribution.

Examples

use rusty_machine::stats::dist::Exponential;
use rusty_machine::stats::dist::Distribution;

// Construct an exponential with lambda parameter 5.0.
let exp = Exponential::new(5f64);

let cdf_zero = exp.cdf(0f64);

assert!((cdf_zero).abs() < 1e-20);

impl Sample<f64> for Exponential

fn sample<R: Rng>(&mut self, rng: &mut R) -> f64

Generate a random value of Support, using rng as the source of randomness.

impl IndependentSample<f64> for Exponential

fn ind_sample<R: Rng>(&self, rng: &mut R) -> f64

Generate a random value.