Trait rustml::gaussian::GaussianFunctions
[−]
[src]
pub trait GaussianFunctions<T> { fn mean(&self) -> T; fn var(&self) -> T; fn std(&self) -> T; fn pr(&self, x: T) -> T; }
Required Methods
fn mean(&self) -> T
Returns the mean of the Gaussian distribution.
Examples
use rustml::gaussian::*; use rustml::Normalization; let a = vec![1.0f32, 2.0, 4.0, 3.0, 6.0, 5.0]; let g = a.gaussian(Normalization::N); assert_eq!(g.mean(), 3.5);
fn var(&self) -> T
Returns the variance of the Gaussian distribution.
Examples
use rustml::gaussian::*; use rustml::Normalization; let a = vec![1.0f32, 2.0, 4.0, 3.0, 6.0, 5.0]; let g = a.gaussian(Normalization::N); assert!(g.var() - 2.9167 <= 0.0001);
fn std(&self) -> T
Returns the standard deviation (the square root of the variance) of the Gaussian distribution.
Examples
use rustml::gaussian::*; use rustml::Normalization; let a = vec![1.0f32, 2.0, 4.0, 3.0, 6.0, 5.0]; let g = a.gaussian(Normalization::N); assert!(g.std() - 1.7078 <= 0.0001);
fn pr(&self, x: T) -> T
Computes the probability density function for the given value.
Examples
use rustml::gaussian::*; use rustml::Normalization; let a = vec![1.0f32, 2.0, 4.0, 3.0, 6.0, 5.0]; let g = a.gaussian(Normalization::N); assert!(g.pr(2.3) - 0.18250 <= 0.00001);
Implementors
impl GaussianFunctions<f32> for Gaussian<f32>
impl GaussianFunctions<f64> for Gaussian<f64>