Enum ClassWeight 

pub enum ClassWeight<F> {
    None,
    Balanced,
    Explicit(HashMap<usize, F>),
}

Per-class weighting strategy for RidgeClassifier (sklearn class_weight, sklearn/linear_model/_ridge.py:1398).

Mirrors sklearn.utils.class_weight.compute_class_weight: the chosen per-class weight multiplies into any user sample_weight BEFORE the weighted ridge fit (_ridge.py:1305-1307, sample_weight = sample_weight * compute_sample_weight(self.class_weight, y)).

• ClassWeight::None — all classes weight 1.0 (sklearn None, _ridge.py:1400).
• ClassWeight::Balanced — n_samples / (n_classes * bincount(y)) (sklearn 'balanced', _ridge.py:1402-1404, class_weight.py:73).
• ClassWeight::Explicit — map of class label → weight; classes absent from the map keep weight 1.0 (sklearn dict, class_weight.py:77-81).

Variants

None

All classes have weight 1.0 (sklearn None).

Balanced

Inversely proportional to class frequency: n_samples / (n_classes * count[c]) (sklearn 'balanced').

Explicit(HashMap<usize, F>)

Explicit per-class weights; classes not present default to 1.0 (sklearn dict).

Trait Implementations

impl<F: Clone> Clone for ClassWeight<F>

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

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl<F: Debug> Debug for ClassWeight<F>

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

Formats the value using the given formatter.

impl<F> Default for ClassWeight<F>

fn default() -> ClassWeight<F>

Returns the “default value” for a type.