Struct EnsembleNoiseFunction 

pub struct EnsembleNoiseFunction { /* private fields */ }

Ensemble noise function that combines multiple noise functions

Implementations

impl EnsembleNoiseFunction

pub fn new(noise_functions: Vec<LearnableNoiseFunction>) -> Self

Create a new ensemble noise function

pub fn combination_method(self, method: CombinationMethod) -> Self

Set the combination method

pub fn weights(self, weights: Array1<f64>) -> Self

Set custom weights

pub fn learn_weights( &mut self, x: &Array2<f64>, y: &Array1<f64>, max_iter: usize, ) -> SklResult<()>

Learn optimal weights based on data

Trait Implementations

impl Clone for EnsembleNoiseFunction

fn clone(&self) -> EnsembleNoiseFunction

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for EnsembleNoiseFunction

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

Formats the value using the given formatter.

impl NoiseFunction for EnsembleNoiseFunction

fn compute_noise(&self, x: &Array2<f64>) -> SklResult<Array1<f64>>

Compute noise variance for given inputs

fn update_parameters( &mut self, x: &Array2<f64>, residuals: &Array1<f64>, learning_rate: f64, ) -> SklResult<()>

Update noise function parameters given residuals

fn get_parameters(&self) -> Vec<f64>

Get current parameter values

fn set_parameters(&mut self, params: &[f64]) -> SklResult<()>

Set parameter values

fn clone_box(&self) -> Box<dyn NoiseFunction>

Clone the noise function