Enum ClassWeight 

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

Per-class weighting strategy for SGDClassifier.

Mirrors sklearn’s class_weight parameter (_stochastic_gradient.py constraint [dict, "balanced", None]); the expanded per-class weights are computed by [compute_class_weight] following sklearn.utils.compute_class_weight semantics and fed into the per-sample update *= class_weight * sample_weight scaling (_sgd_fast.pyx.tp:630).

Variants

None

Uniform weights (all classes weighted 1.0). The default.

Balanced

Balanced weights n_samples / (n_classes * count_c) per class c, matching sklearn.utils.compute_class_weight("balanced", ...) (class_weight.py:73).

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 (class_weight.py:77-81).

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.