Struct FittedBayesianRidge 

pub struct FittedBayesianRidge<F> { /* private fields */ }

Fitted Bayesian Ridge Regression model.

Stores the posterior mean coefficients, intercept, estimated noise precision (alpha), weight precision (lambda), and the diagonal of the posterior covariance matrix (sigma).

Implementations

impl<F: Float> FittedBayesianRidge<F>

pub fn alpha(&self) -> F

Returns the estimated noise precision (alpha = 1/sigma²_noise).

pub fn lambda(&self) -> F

Returns the estimated weight precision (lambda = 1/sigma²_weights).

pub fn sigma(&self) -> &Array1<F>

Returns the diagonal of the posterior covariance matrix.

Trait Implementations

impl<F: Clone> Clone for FittedBayesianRidge<F>

fn clone(&self) -> FittedBayesianRidge<F>

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl<F: Debug> Debug for FittedBayesianRidge<F>

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

Formats the value using the given formatter.

impl<F> FittedPipelineEstimator<F> for FittedBayesianRidge<F>

where F: Float + ScalarOperand + Send + Sync + 'static,

fn predict_pipeline(&self, x: &Array2<F>) -> Result<Array1<F>, FerroError>

Generate predictions via the pipeline interface.

Errors

Propagates any FerroError from predict.

impl<F: Float + Send + Sync + ScalarOperand + 'static> HasCoefficients<F> for FittedBayesianRidge<F>

fn coefficients(&self) -> &Array1<F>

Returns the posterior mean coefficient vector.

fn intercept(&self) -> F

Returns the intercept term.

impl<F: Float + Send + Sync + ScalarOperand + 'static> Predict<ArrayBase<OwnedRepr<F>, Dim<[usize; 2]>>> for FittedBayesianRidge<F>

fn predict(&self, x: &Array2<F>) -> Result<Array1<F>, FerroError>

Predict target values using the posterior mean coefficients.

Computes X @ coefficients + intercept.

Errors

Returns FerroError::ShapeMismatch if the number of features does not match the fitted model.

type Output = ArrayBase<OwnedRepr<F>, Dim<[usize; 1]>>

The prediction output type (e.g., ndarray::Array1<F> or ndarray::Array1<usize>).

type Error = FerroError

The error type returned by predict.