Struct rusty_machine::learning::glm::Normal

pub struct Normal;

The Normal regression family.

This is equivalent to the Linear Regression model.

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 Copy for Normal

impl Debug for Normal

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

Formats the value using the given formatter.

impl Criterion for Normal

type Link = Identity

The link function of the GLM Criterion.

fn model_variance(&self, _: f64) -> f64

The variance of the regression family.

fn initialize_mu(&self, y: &[f64]) -> Vec<f64>

Initializes the mean value.

fn compute_working_weight(&self, mu: &[f64]) -> Vec<f64>

Computes the working weights that make up the diagonal of the W matrix used in the iterative reweighted least squares algorithm.

fn compute_y_bar(&self, y: &[f64], mu: &[f64]) -> Vec<f64>

Computes the adjustment to the fitted values used during fitting.

fn apply_link_func(&self, vec: Vector<f64>) -> Vector<f64>

Applies the link function to a vector.

fn apply_link_inv(&self, vec: Vector<f64>) -> Vector<f64>

Applies the inverse of the link function to a vector.

fn link_grad(&self, mu: f64) -> f64

Computes the gradient of the link function.