Struct Perceptron 

pub struct Perceptron { /* private fields */ }

Binary Perceptron classifier (Rosenblatt 1958).

Labels must be in {−1, +1}. The update rule fires only when a prediction is wrong: w ← w + η·y·x and bias ← bias + η·y.

Implementations

impl Perceptron

pub fn new(n_features: usize) -> Self

Create a new Perceptron with n_features dimensions and default η = 1.0.

pub fn with_learning_rate(self, lr: f64) -> Self

Set the per-mistake learning rate (η).

pub fn bias(&self) -> f64

Current bias term.

pub fn stats(&self) -> &OnlineStats

Reference to running statistics.

Trait Implementations

impl Clone for Perceptron

fn clone(&self) -> Perceptron

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for Perceptron

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

Formats the value using the given formatter.

impl OnlineLearner for Perceptron

fn update( &mut self, features: &[f64], label: f64, ) -> Result<OnlineUpdateResult, OnlineError>

Update model on a single (features, label) pair. Returns update stats.

fn predict(&self, features: &[f64]) -> Result<f64, OnlineError>

Predict class label or regression value for features.

fn n_updates(&self) -> usize

Number of updates seen so far.

fn weights(&self) -> &[f64]

Current weight vector (without bias).