Struct FittedRidgeClassifier 

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

Fitted Ridge Classifier.

Stores the learned coefficient matrix, intercept vector, and class labels.

Implementations

impl<F: Float> FittedRidgeClassifier<F>

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

Returns the full coefficient matrix, shape (n_features, n_targets).

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

Returns the intercept vector.

impl<F: Float + ScalarOperand + Send + Sync + 'static> FittedRidgeClassifier<F>

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

Raw X @ coef + intercept per class. Mirrors sklearn RidgeClassifier.decision_function.

Returns shape (n_samples, n_classes). argmax of each row agrees with Predict.

Errors

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

Trait Implementations

impl<F: Clone> Clone for FittedRidgeClassifier<F>

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

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl<F: Debug> Debug for FittedRidgeClassifier<F>

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

Formats the value using the given formatter.

impl<F: Float + Send + Sync + ScalarOperand + 'static> HasClasses for FittedRidgeClassifier<F>

fn classes(&self) -> &[usize]

Returns the sorted list of unique class labels.

fn n_classes(&self) -> usize

Returns the number of distinct classes.

impl<F: Float + Send + Sync + ScalarOperand + 'static> HasCoefficients<F> for FittedRidgeClassifier<F>

fn coefficients(&self) -> &Array1<F>

Returns a reference to the learned coefficient vector.

fn intercept(&self) -> F

Returns the learned intercept (bias) term.

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

fn predict(&self, x: &Array2<F>) -> Result<Array1<usize>, FerroError>

Predict class labels for the given feature matrix.

Computes X @ coef_matrix + intercept_vec and takes argmax per row.

Errors

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

type Output = ArrayBase<OwnedRepr<usize>, Dim<[usize; 1]>>

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

type Error = FerroError

The error type returned by predict.