Enum ResolvedLikelihoodScale 

pub enum ResolvedLikelihoodScale {
    ProfiledGaussian,
    FixedGaussian {
        phi: PositiveLikelihoodScale,
    },
    Unit,
    Gamma {
        scale: ResolvedGammaScale,
        estimated: bool,
    },
    Tweedie {
        phi: PositiveLikelihoodScale,
        estimated: bool,
    },
    BetaPrecision {
        precision: PositiveLikelihoodScale,
        estimated: bool,
    },
    NegativeBinomial {
        theta: PositiveLikelihoodScale,
        estimated: bool,
    },
    Unspecified,
}

Validated, family-aware likelihood-scale ownership.

Unlike LikelihoodScaleMetadata alone, this enum is constructed jointly with ResponseFamily. A value therefore proves both scalar validity and family/metadata agreement; downstream kernels never need to invent a unit fallback for a missing or mismatched scale.

Variants

ProfiledGaussian

FixedGaussian

Fields

phi: PositiveLikelihoodScale

Unit

Gamma

Fields

scale: ResolvedGammaScale

estimated: bool

Tweedie

Fields

phi: PositiveLikelihoodScale

estimated: bool

BetaPrecision

Fields

precision: PositiveLikelihoodScale

estimated: bool

NegativeBinomial

Fields

theta: PositiveLikelihoodScale

estimated: bool

Unspecified

Implementations

impl ResolvedLikelihoodScale

pub fn gamma_log_shape(self) -> Result<f64, InvalidLikelihoodScale>

log(shape) for Gamma without reciprocal materialization.

pub fn gamma_shape(self) -> Result<f64, InvalidLikelihoodScale>

Representable Gamma shape. A subnormal fixed dispersion can have a finite log-shape but a reciprocal beyond f64; that is rejected here, at the raw-shape consumer, rather than earlier in log-density code.

pub fn gamma_phi(self) -> Result<f64, InvalidLikelihoodScale>

pub fn tweedie_log_phi(self) -> Result<f64, InvalidLikelihoodScale>

pub fn tweedie_phi(self) -> Result<f64, InvalidLikelihoodScale>

pub fn negative_binomial_log_theta(self) -> Result<f64, InvalidLikelihoodScale>

pub fn negative_binomial_theta(self) -> Result<f64, InvalidLikelihoodScale>

pub fn beta_log_precision(self) -> Result<f64, InvalidLikelihoodScale>

pub fn beta_precision(self) -> Result<f64, InvalidLikelihoodScale>

pub fn gaussian_log_phi(self) -> Result<f64, InvalidLikelihoodScale>

pub fn gaussian_phi(self) -> Result<f64, InvalidLikelihoodScale>

Trait Implementations

impl Clone for ResolvedLikelihoodScale

fn clone(&self) -> ResolvedLikelihoodScale

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Copy for ResolvedLikelihoodScale

impl Debug for ResolvedLikelihoodScale

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

Formats the value using the given formatter.

impl PartialEq for ResolvedLikelihoodScale

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

Equality operator ==.

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

Inequality operator !=.

impl StructuralPartialEq for ResolvedLikelihoodScale