Struct Gaussian

pub struct Gaussian<T> { /* private fields */ }

Contains all parameters to describe a Gaussian distribution, i.e. the mean and the variance.

Given a set of samples the parameters can be estimated for all types for which the trait Gaussian is implemented.

Implementations

impl<T: Float> Gaussian<T>

pub fn new(mean: T, var: T) -> Gaussian<T>

Creates a gaussian distribution from the given mean mean and the variance var.

Trait Implementations

impl GaussianFunctions<f32> for Gaussian<f32>

fn mean(&self) -> f32

Returns the mean of the Gaussian distribution.

fn var(&self) -> f32

Returns the variance of the Gaussian distribution.

fn std(&self) -> f32

Returns the standard deviation (the square root of the variance) of the Gaussian distribution.

fn pr(&self, x: f32) -> f32

Computes the probability density function for the given value.

impl GaussianFunctions<f64> for Gaussian<f64>

fn mean(&self) -> f64

Returns the mean of the Gaussian distribution.

fn var(&self) -> f64

Returns the variance of the Gaussian distribution.

fn std(&self) -> f64

Returns the standard deviation (the square root of the variance) of the Gaussian distribution.

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

Computes the probability density function for the given value.