Enum ClassWeight 

#[non_exhaustive]
pub enum ClassWeight {
    Uniform,
    Balanced,
    Custom(HashMap<usize, f64>),
}

Strategy for weighting classes during training.

Used by classifiers to handle imbalanced datasets. When set to Balanced, minority classes receive higher weight, making the model pay more attention to underrepresented classes.

Example

use scry_learn::weights::ClassWeight;
use scry_learn::tree::DecisionTreeClassifier;

let dt = DecisionTreeClassifier::new()
    .class_weight(ClassWeight::Balanced);

Variants (Non-exhaustive)

Non-exhaustive enums could have additional variants added in future. Therefore, when matching against variants of non-exhaustive enums, an extra wildcard arm must be added to account for any future variants.

Uniform

All classes weighted equally (weight = 1.0). This is the default.

Balanced

Automatically adjust weights inversely proportional to class frequencies.

Uses the sklearn formula: weight_c = n_samples / (n_classes × n_c).

Custom(HashMap<usize, f64>)

User-specified per-class weights (class label → weight).

Trait Implementations

impl Clone for ClassWeight

fn clone(&self) -> ClassWeight

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for ClassWeight

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

Formats the value using the given formatter.

impl Default for ClassWeight

fn default() -> ClassWeight

Returns the “default value” for a type.