Struct BayesianPredictionProvider 

pub struct BayesianPredictionProvider {
    pub posterior_covariance: Option<Array2<Float>>,
}

Bayesian prediction provider with uncertainty quantification

Fields

posterior_covariance: Option<Array2<Float>>

Posterior covariance matrix

Implementations

impl BayesianPredictionProvider

pub fn new(posterior_covariance: Option<Array2<Float>>) -> Self

Trait Implementations

impl Debug for BayesianPredictionProvider

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

Formats the value using the given formatter.

impl PredictionProvider for BayesianPredictionProvider

fn predict( &self, features: &Array2<Float>, coefficients: &Array1<Float>, intercept: Option<Float>, ) -> Result<Array1<Float>>

fn supports_uncertainty_quantification(&self) -> bool

Check if this provider supports uncertainty quantification

fn predict_with_uncertainty( &self, features: &Array2<Float>, coefficients: &Array1<Float>, intercept: Option<Float>, ) -> Result<PredictionWithUncertainty>

Prediction with uncertainty quantification (if supported)

fn name(&self) -> &'static str

Get the name of this prediction provider

fn predict_with_confidence( &self, features: &Array2<Float>, coefficients: &Array1<Float>, intercept: Option<Float>, confidence_level: Float, ) -> Result<PredictionWithConfidence>

fn supports_confidence_intervals(&self) -> bool

Check if this provider supports confidence intervals