Enum GlmFamily 

#[non_exhaustive]
pub enum GlmFamily {
    Binomial,
    Poisson,
    Gamma,
    Gaussian,
}

Exponential-family distribution for functional_glm.

Each variant specifies the canonical link function and variance function for one member of the exponential family.

Variant	Link g(μ)	Inverse link g⁻¹(η)	Variance V(μ)
Binomial	logit	sigmoid	μ(1−μ)
Poisson	log	exp	μ
Gamma	inverse	1/η	μ²
Gaussian	identity	η	1

Variants (Non-exhaustive)

Non-exhaustive enums could have additional variants added in future. Therefore, when matching against variants of non-exhaustive enums, an extra wildcard arm must be added to account for any future variants.

Binomial

Logit link; binary outcomes (y ∈ {0, 1}).

Poisson

Log link; non-negative integer counts (y ∈ {0, 1, 2, …}).

Gamma

Inverse link (canonical); strictly positive continuous responses (y > 0).

Gaussian

Identity link; continuous unbounded responses.

Trait Implementations

impl Clone for GlmFamily

fn clone(&self) -> GlmFamily

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Copy for GlmFamily

impl Debug for GlmFamily

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

Formats the value using the given formatter.

impl PartialEq for GlmFamily

fn eq(&self, other: &GlmFamily) -> bool

Equality operator ==.

fn ne(&self, other: &Rhs) -> bool

Inequality operator !=.

impl StructuralPartialEq for GlmFamily