Enum ClassWeight 

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

Per-class scaling of the regularization parameter C for SVC.

Mirrors sklearn.svm.SVC’s class_weight parameter (sklearn/svm/_classes.py:118-124, constraint {None, dict, 'balanced'}): it sets the C of class i to class_weight[i]·C (libsvm’s per-class weighted_C[i] = C·class_weight_[i]). The expanded per-class weights are computed by [compute_class_weight] following sklearn.utils.compute_class_weight semantics, as called from BaseSVC._validate_targets (self.class_weight_ = compute_class_weight(self.class_weight, classes=cls, y=y_), sklearn/svm/_base.py:740).

This mirrors crate::linear_svc::ClassWeight for cross-estimator consistency, but is defined locally (no cross-import of linear_svc internals).

Variants

None

Uniform weights (all classes weighted 1.0). The default (class_weight=None).

Balanced

Balanced weights n_samples / (n_classes · count_c) per class c, matching sklearn.utils.compute_class_weight("balanced", ...) (_classes.py:122-124: n_samples / (n_classes * np.bincount(y))).

Explicit(Vec<(usize, F)>)

Explicit class-label -> weight map. Classes absent from the map default to 1.0, matching the dict branch of compute_class_weight.

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.