Struct VariationalDeepGaussianProcess 

pub struct VariationalDeepGaussianProcess { /* private fields */ }

Variational Deep Gaussian Process

Implementations

impl VariationalDeepGaussianProcess

pub fn builder() -> VariationalDeepGPBuilder

Create a new builder for variational deep GP

pub fn new(config: VariationalDeepGPConfig) -> Self

Create a new variational deep GP with default configuration

pub fn fit(&mut self, X: &Array2<f64>, y: &Array2<f64>) -> Result<()>

Fit the variational deep GP to training data

pub fn predict(&self, X: &Array2<f64>) -> Result<(Array2<f64>, Array2<f64>)>

Make predictions with uncertainty quantification

pub fn compute_elbo( &self, X: &Array2<f64>, y: &Array2<f64>, state: &VariationalDeepGPState, ) -> Result<f64>

Compute the Evidence Lower BOund (ELBO)

pub fn elbo(&self) -> Option<f64>

Get the current ELBO value

pub fn elbo_history(&self) -> Option<&[f64]>

Get the ELBO history during training

pub fn has_converged(&self) -> Option<bool>

Check if training has converged

pub fn n_layers(&self) -> usize

Get the number of layers

pub fn predict_layer( &self, X: &Array2<f64>, layer_idx: usize, ) -> Result<(Array2<f64>, Array2<f64>)>

Get predictions from a specific layer

Trait Implementations

impl Debug for VariationalDeepGaussianProcess

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

Formats the value using the given formatter.