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MultinomialFitOutputs

gam_models::multinomial

Struct MultinomialFitOutputs 

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pub struct MultinomialFitOutputs {
    pub coefficients_active: Array2<f64>,
    pub fitted_probabilities: Array2<f64>,
    pub iterations: usize,
    pub converged: bool,
    pub penalized_neg_log_likelihood: f64,
    pub deviance: f64,
}
Expand description

Outputs of fit_penalized_multinomial.

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§coefficients_active: Array2<f64>

Active-class coefficient block, shape (P, K-1) (column a is β_a). The reference class K - 1 has β_{K-1} ≡ 0 by construction and is not stored.

§fitted_probabilities: Array2<f64>

Fitted probabilities, shape (N, K).

§iterations: usize

Number of Newton iterations executed (including the final step that satisfied the tolerance).

§converged: bool

true if the relative-step test was satisfied; false if the solver exhausted max_iter. (A non-converged solve is still returned; the caller decides whether to escalate.)

§penalized_neg_log_likelihood: f64

Penalized negative log-likelihood at the returned β̂: −log L(β̂) + ½ Σ_a λ_a · β̂_a^T S β̂_a.

§deviance: f64

Unpenalized deviance −2 log L(β̂) for diagnostic reporting.

Trait Implementations§

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impl Clone for MultinomialFitOutputs

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fn clone(&self) -> MultinomialFitOutputs

Returns a duplicate of the value. Read more
1.0.0 (const: unstable) · Source§

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

Performs copy-assignment from source. Read more
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impl Debug for MultinomialFitOutputs

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

Formats the value using the given formatter. Read more

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