shrinkage::ProximalFit

coefficients

Source: src/fit/proximal.rs

pub fn coefficients(&self) -> &[f64]

Original-scale coefficients, in training-column order.

dual_certificate

Source: src/fit/proximal.rs

pub fn dual_certificate(&self) -> Option<&[f64]>

Feasible observation-scale dual vector, when screening was supported.

dual_objective

Source: src/fit/proximal.rs

pub fn dual_objective(&self) -> Option<f64>

Dual objective D(theta), when a certificate was constructed.

duality_gap

Source: src/fit/proximal.rs

pub fn duality_gap(&self) -> Option<f64>

Padded G(beta_0, beta, theta), independently of stopping choice.

intercept

Source: src/fit/proximal.rs

pub fn intercept(&self) -> f64

Original-scale intercept, including the correction for centering.

iterations

Source: src/fit/proximal.rs

pub fn iterations(&self) -> usize

Number of accepted proximal updates.

objective

Source: src/fit/proximal.rs

pub fn objective(&self) -> f64

Final primal objective P(beta_0, beta) = F(beta_0, beta) + R(beta).

predict

Source: src/fit/proximal.rs

pub fn predict<M: RawColumns<f64> + ?Sized>(
    &self,
    x: &M
) -> Result<Vec<f64>, FitError>

Predict from raw columns using original-scale parameters.

Errors

Reject feature-count mismatches, invalid entries, or nonfinite arithmetic.

preprocessing

Source: src/fit/proximal.rs

pub fn preprocessing(&self) -> &Preprocessing

Training normalization metadata, reused for predictions.

screening_diagnostics

Source: src/fit/proximal.rs

pub fn screening_diagnostics(&self) -> &shrinkage::ScreeningDiagnostics

Work and dimension reductions certified by Gap Safe screening.

step_size

Source: src/fit/proximal.rs

pub fn step_size(&self) -> f64

Step that passed the final smooth quadratic-bound check.

stopping_criterion

Source: src/fit/proximal.rs

pub fn stopping_criterion(&self) -> StoppingCriterion

Criterion selected for this fit.

stopping_threshold

Source: src/fit/proximal.rs

pub fn stopping_threshold(&self) -> f64

Absolute mapping threshold used to certify convergence.

stopping_value

Source: src/fit/proximal.rs

pub fn stopping_value(&self) -> f64

Infinity norm of (beta - prox(beta - step * gradient)) / step, maximized with the absolute unpenalized intercept derivative. Evaluated at the returned parameters, using Self::step_size.

termination

Source: src/fit/proximal.rs

pub fn termination(&self) -> Termination

Whether the fit converged or exhausted its iteration budget.

clone

Source: src/fit/proximal.rs

fn clone(&self) -> Self

fmt

Source: src/fit/proximal.rs

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

predict

Source: src/cross_validation.rs

fn predict<M: RawColumns<f64> + ?Sized>(
    &self,
    design: &M
) -> Result<Vec<f64>, FitError>

termination

Source: src/cross_validation.rs

fn termination(&self) -> Termination