shrinkage::MultivariateFit

coefficients

Source: src/fit/multivariate.rs

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

Original-scale coefficients in response-major order.

coefficients_for_response

Source: src/fit/multivariate.rs

pub fn coefficients_for_response(&self, response: usize) -> Option<&[f64]>

Original-scale feature coefficients for one response.

intercepts

Source: src/fit/multivariate.rs

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

Original-scale intercepts, including each response's centering correction.

iterations

Source: src/fit/multivariate.rs

pub fn iterations(&self) -> usize

Number of accepted joint proximal updates.

layout

Source: src/fit/multivariate.rs

pub fn layout(&self) -> CoefficientLayout

Explicit feature and response dimensions of the fitted coefficients.

objective

Source: src/fit/multivariate.rs

pub fn objective(&self) -> f64

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

predict

Source: src/fit/multivariate.rs

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

Predict response columns from raw training-order features.

Entry (observation, response) has index response * x.nrows() + observation. Prediction uses fitted parameters without estimating new statistics. Empty prediction batches return an empty vector.

Errors

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

preprocessing

Source: src/fit/multivariate.rs

pub fn preprocessing(&self) -> &Preprocessing

Shared training-feature normalization metadata.

step_size

Source: src/fit/multivariate.rs

pub fn step_size(&self) -> f64

Step that passed the final smooth quadratic-bound check.

stopping_criterion

Source: src/fit/multivariate.rs

pub fn stopping_criterion(&self) -> StoppingCriterion

Criterion selected for the joint fit.

stopping_threshold

Source: src/fit/multivariate.rs

pub fn stopping_threshold(&self) -> f64

Absolute mapping threshold used to certify convergence.

stopping_value

Source: src/fit/multivariate.rs

pub fn stopping_value(&self) -> f64

Infinity norm of the complete coefficient mapping and all free-intercept derivatives, evaluated at the returned parameters.

termination

Source: src/fit/multivariate.rs

pub fn termination(&self) -> Termination

Whether the joint fit converged or exhausted its iteration budget.

clone

Source: src/fit/multivariate.rs

fn clone(&self) -> Self

fmt

Source: src/fit/multivariate.rs

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