Struct OnlineLinearRegression 

pub struct OnlineLinearRegression { /* private fields */ }

Simple online linear regression using SGD

Implements OnlineLearner for incremental least squares fitting.

Implementations

impl OnlineLinearRegression

pub fn new(n_features: usize) -> Self

Create a new online linear regression model

Arguments

• n_features - Number of input features

pub fn with_config(n_features: usize, config: OnlineLearnerConfig) -> Self

Create with custom configuration

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

Get model weights

pub fn bias(&self) -> f64

Get bias term

pub fn predict_one(&self, x: &[f64]) -> Result<f64>

Predict for a single sample

Trait Implementations

impl Clone for OnlineLinearRegression

fn clone(&self) -> OnlineLinearRegression

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for OnlineLinearRegression

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

Formats the value using the given formatter.

impl OnlineLearner for OnlineLinearRegression

fn partial_fit( &mut self, x: &[f64], y: &[f64], learning_rate: Option<f64>, ) -> Result<f64>

Update model with single sample (or mini-batch)

fn current_learning_rate(&self) -> f64

Get current effective learning rate

fn n_samples_seen(&self) -> u64

Number of samples seen so far

fn reset(&mut self)

Reset internal state (for retraining from scratch)

fn supports_warm_start(&self) -> bool

Check if model supports warm-starting from checkpoint