Struct compute::distributions::Normal

pub struct Normal { /* fields omitted */ }

Implements the Normal distribution.

Implementations

impl Normal

pub fn new(mu: f64, sigma: f64) -> Self

Create a new Normal distribution with mean mu and standard deviation sigma.

Errors

Panics if sigma < 0.

pub fn set_mu(&mut self, mu: f64) -> &mut Self

pub fn set_sigma(&mut self, sigma: f64) -> &mut Self

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

TODO: make cdf a method of the Continuous trait.

Trait Implementations

impl Clone for Normal

fn clone(&self) -> Normal

Returns a copy of the value.

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

Performs copy-assignment from source.

impl Continuous for Normal

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

Calculates the probability density function of the given Normal distribution at x.

type PDFType = f64

fn ln_pdf(&self, x: Self::PDFType) -> f64

impl Debug for Normal

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

Formats the value using the given formatter.

impl Default for Normal

fn default() -> Self

Returns the “default value” for a type.

impl Distribution for Normal

fn sample(&self) -> f64

Sample from the given Normal distribution.

type Output = f64

impl Distribution1D for Normal

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

Update the parameters of the distribution.

fn sample_n(&self, n: usize) -> Vector

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

fn sample_matrix(&self, nrows: usize, ncols: usize) -> Matrix

Generates a matrix of size n x m with values randomly sampled from the given distribution.

impl Mean for Normal

fn mean(&self) -> f64

Returns the mean of the given Normal distribution.

type MeanType = f64

impl Variance for Normal

fn var(&self) -> f64

Returns the variance of the given Normal distribution.

type VarianceType = f64

impl Copy for Normal