Struct AdaBoost 

pub struct AdaBoost {
    pub rounds: usize,
    pub alphas: Vec<f64>,
    pub weak_accuracies: Vec<f64>,
}

AdaBoost: adaptive boosting with exponential loss.

Fields

rounds: usize

Number of boosting rounds T.

alphas: Vec<f64>

Weights α_t for each weak learner.

weak_accuracies: Vec<f64>

Per-round weak learner accuracies.

Implementations

impl AdaBoost

pub fn new(rounds: usize) -> Self

Create a new AdaBoost instance.

pub fn compute_alpha(weak_error: f64) -> f64

Compute alpha_t = 0.5 * ln((1 - ε_t) / ε_t) for a weak learner with error ε_t.

pub fn training_error_bound(gammas: &[f64]) -> f64

Training error bound after T rounds: ≤ exp(-2 Σ γ_t²) where γ_t = 0.5 - ε_t.

pub fn add_round(&mut self, weak_accuracy: f64)

Record a round’s weak learner accuracy.