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DispersionAloRowGeometry

gam_models::gamlss

Struct DispersionAloRowGeometry 

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pub struct DispersionAloRowGeometry {
    pub nll_score: [f64; 2],
    pub observed_hessian: [[f64; 2]; 2],
}
Expand description

Exact row-local geometry consumed by saved-model case deletion.

The score is the gradient of the weighted negative log-likelihood in the affine coordinates (eta_mu, eta_d). observed_hessian is its observed Hessian, not a Fisher working-weight surrogate and not the outer product of the score. Keeping those two objects separate is essential for ALO: the observed Hessian controls the deletion denominator, while the score outer product controls the sandwich variance.

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§nll_score: [f64; 2]§observed_hessian: [[f64; 2]; 2]

Trait Implementations§

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impl Clone for DispersionAloRowGeometry

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fn clone(&self) -> DispersionAloRowGeometry

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 Copy for DispersionAloRowGeometry

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impl Debug for DispersionAloRowGeometry

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

Formats the value using the given formatter. Read more
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impl PartialEq for DispersionAloRowGeometry

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

Equality operator ==. Read more
1.0.0 (const: unstable) · Source§

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

Inequality operator !=. Read more
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impl StructuralPartialEq for DispersionAloRowGeometry

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🔬This is a nightly-only experimental API. (clone_to_uninit)
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