Struct KLDivergenceKernel 

pub struct KLDivergenceKernel { /* private fields */ }

KL-Divergence Kernel Features

Generates kernel features based on KL-divergence approximation between distributions. KLDivergenceKernel

Implementations

impl KLDivergenceKernel

pub fn new(n_components: usize) -> Self

Create a new KL-divergence kernel

pub fn reference_distribution(self, dist: KLReferenceDistribution) -> Self

Set reference distribution

pub fn n_bins(self, n_bins: usize) -> Self

Set number of bins for histogram estimation

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

Set random state

Trait Implementations

impl Clone for KLDivergenceKernel

fn clone(&self) -> KLDivergenceKernel

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for KLDivergenceKernel

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

Formats the value using the given formatter.

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

type Fitted = FittedKLDivergenceKernel

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