Struct AnisotropicRBFSampler 

pub struct AnisotropicRBFSampler { /* private fields */ }

Anisotropic RBF kernel sampler using random Fourier features AnisotropicRBFSampler

Implementations

impl AnisotropicRBFSampler

pub fn new(n_components: usize) -> Self

Create new anisotropic RBF sampler

pub fn length_scales(self, length_scales: Vec<f64>) -> Self

Set length scales manually (disables automatic learning)

pub fn signal_variance(self, signal_variance: f64) -> Self

Set signal variance

pub fn learn_length_scales(self, learn: bool) -> Self

Enable/disable automatic length scale learning

pub fn optimization_params(self, max_iter: usize, tol: f64) -> Self

Set optimization parameters

pub fn random_state(self, seed: u64) -> Self

Set random seed

Trait Implementations

impl Clone for AnisotropicRBFSampler

fn clone(&self) -> AnisotropicRBFSampler

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for AnisotropicRBFSampler

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

Formats the value using the given formatter.

impl Fit<ArrayBase<OwnedRepr<f64>, Dim<[usize; 2]>>, ()> for AnisotropicRBFSampler

type Fitted = FittedAnisotropicRBF

The fitted model type

fn fit(self, x: &Array2<f64>, _y: &()) -> Result<Self::Fitted>

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