Enum Likelihood 

pub enum Likelihood {
    Gaussian {
        data: Vec<f64>,
        sigma: f64,
    },
    Poisson {
        counts: Vec<u64>,
    },
    Bernoulli {
        outcomes: Vec<u8>,
    },
    Multinomial {
        counts: Vec<u64>,
    },
}

Supported likelihood functions.

Variants

Gaussian

Gaussian likelihood: x | μ, σ ~ N(μ, σ²).

Fields

data: Vec<f64>

Observed data.

sigma: f64

Known noise standard deviation σ.

Poisson

Poisson likelihood: k | λ ~ Poisson(λ).

Fields

counts: Vec<u64>

Observed counts.

Bernoulli

Bernoulli likelihood: x ∈ {0,1} | p ~ Bernoulli(p).

Fields

outcomes: Vec<u8>

Observed outcomes (0 or 1).

Multinomial

Multinomial likelihood over K categories.

Fields

counts: Vec<u64>

Observed counts per category.

Implementations

impl Likelihood

pub fn log_likelihood(&self, theta: f64) -> f64

Returns the log likelihood log p(data | θ) for a scalar parameter θ.

For Gaussian: θ = μ (mean). For Poisson: θ = λ (rate). For Bernoulli: θ = p (probability). For Multinomial: not applicable (returns NEG_INFINITY; use multinomial_log_likelihood).

pub fn multinomial_log_likelihood(&self, probs: &[f64]) -> f64

Returns the log multinomial likelihood for probability vector probs.

Trait Implementations

impl Clone for Likelihood

fn clone(&self) -> Likelihood

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for Likelihood

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

Formats the value using the given formatter.