Struct FittedRidgeMulti 

pub struct FittedRidgeMulti<F> { /* private fields */ }

Fitted multi-output Ridge regression model.

Companion to FittedRidge for the case where Y has multiple target columns. Stores a (n_features, n_targets) coefficient matrix and a per-target intercept vector. The Cholesky factor of X^T X + alpha * I is computed once during Ridge::fit and shared across all targets, so multi-output fitting costs the same O(p^3) factorization as the single-output path.

Implementations

impl<F: Float> FittedRidgeMulti<F>

pub fn coefficients(&self) -> &Array2<F>

Borrow the learned coefficient matrix (n_features, n_targets).

pub fn intercepts(&self) -> &Array1<F>

Borrow the per-target intercept vector (n_targets,).

Trait Implementations

impl<F: Clone> Clone for FittedRidgeMulti<F>

fn clone(&self) -> FittedRidgeMulti<F>

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl<F: Debug> Debug for FittedRidgeMulti<F>

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

Formats the value using the given formatter.

impl<F: Float + Send + Sync + ScalarOperand + 'static> Predict<ArrayBase<OwnedRepr<F>, Dim<[usize; 2]>>> for FittedRidgeMulti<F>

fn predict(&self, x: &Array2<F>) -> Result<Array2<F>, FerroError>

Predict target values for the given feature matrix.

Computes X @ coefficients + intercepts and returns an (n_samples, n_targets) array.

Errors

Returns FerroError::ShapeMismatch if the number of features does not match the fitted model.

type Output = ArrayBase<OwnedRepr<F>, Dim<[usize; 2]>>

The prediction output type (e.g., ndarray::Array1<F> or ndarray::Array1<usize>).

type Error = FerroError

The error type returned by predict.