Struct MeanRegressor 

pub struct MeanRegressor { /* private fields */ }

A regressor that always predicts the running mean of observed targets.

This is the simplest meaningful online regression baseline.

Implementations

impl MeanRegressor

pub fn new(config: BaselineConfig) -> Result<Self, RillError>

Create a new mean regressor with the given configuration.

pub const fn mean(&self) -> f64

The current running mean of targets.

Trait Implementations

impl Clone for MeanRegressor

fn clone(&self) -> MeanRegressor

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for MeanRegressor

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

Formats the value using the given formatter.

impl Default for MeanRegressor

fn default() -> Self

Returns the “default value” for a type.

impl OnlineRegressor for MeanRegressor

fn feature_count(&self) -> usize

The number of features the model expects.

fn samples_seen(&self) -> u64

How many training samples the model has seen so far.

fn predict(&self, _features: &[f64]) -> Result<f64, RillError>

Predict the target for the given feature slice.

fn learn(&mut self, _features: &[f64], target: f64) -> Result<(), RillError>

Update the model using a single labeled sample.

fn reset(&mut self)

Reset the model to its initial state, as if no samples had been seen.