pub struct PenalizedVectorGlmOutputs {
pub coefficients: Array2<f64>,
pub eta: Array2<f64>,
pub iterations: usize,
pub converged: bool,
pub log_likelihood: f64,
pub penalty_term: f64,
}Expand description
Outputs of fit_penalized_vector_glm.
Fields§
§coefficients: Array2<f64>Coefficient matrix, shape (P, M) (column a is β_a).
eta: Array2<f64>Final active linear predictor η = X β̂, shape (N, M). The adapter
turns this into fitted probabilities via its own inverse link.
iterations: usizeNumber of Newton iterations executed (including the final step that satisfied the tolerance).
converged: booltrue if the relative-step test was satisfied before max_iter.
log_likelihood: f64Unpenalized log-likelihood log L(β̂).
penalty_term: f64Penalty term ½ Σ_a λ_a · β̂_aᵀ S β̂_a at the returned β̂.
Auto Trait Implementations§
impl Freeze for PenalizedVectorGlmOutputs
impl RefUnwindSafe for PenalizedVectorGlmOutputs
impl Send for PenalizedVectorGlmOutputs
impl Sync for PenalizedVectorGlmOutputs
impl Unpin for PenalizedVectorGlmOutputs
impl UnsafeUnpin for PenalizedVectorGlmOutputs
impl UnwindSafe for PenalizedVectorGlmOutputs
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