Struct FittedDeepGaussianProcess 

pub struct FittedDeepGaussianProcess { /* private fields */ }

Trait Implementations

impl Clone for FittedDeepGaussianProcess

fn clone(&self) -> FittedDeepGaussianProcess

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for FittedDeepGaussianProcess

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

Formats the value using the given formatter.

impl Fit<ArrayBase<ViewRepr<&f64>, Dim<[usize; 2]>>, ArrayBase<ViewRepr<&i32>, Dim<[usize; 1]>>, FittedDeepGaussianProcess> for DeepGaussianProcess

type Fitted = FittedDeepGaussianProcess

The fitted model type

fn fit( self, X: &ArrayView2<'_, f64>, y: &ArrayView1<'_, i32>, ) -> Result<FittedDeepGaussianProcess>

Fit the model to the provided data with validation

fn fit_with_validation( self, x: &X, y: &Y, _x_val: Option<&X>, _y_val: Option<&Y>, ) -> Result<(Self::Fitted, FitMetrics), SklearsError>

where Self: Sized,

Fit with custom validation and early stopping

impl Predict<ArrayBase<ViewRepr<&f64>, Dim<[usize; 2]>>, ArrayBase<OwnedRepr<i32>, Dim<[usize; 1]>>> for FittedDeepGaussianProcess

fn predict(&self, X: &ArrayView2<'_, f64>) -> Result<Array1<i32>>

Make predictions on the provided data

fn predict_with_uncertainty( &self, x: &X, ) -> Result<(Output, UncertaintyMeasure), SklearsError>

Make predictions with confidence intervals

impl PredictProba<ArrayBase<ViewRepr<&f64>, Dim<[usize; 2]>>, ArrayBase<OwnedRepr<f64>, Dim<[usize; 2]>>> for FittedDeepGaussianProcess

fn predict_proba(&self, X: &ArrayView2<'_, f64>) -> Result<Array2<f64>>

Predict class probabilities