Struct MutualInformationKernel 

pub struct MutualInformationKernel { /* private fields */ }

Mutual Information Kernel Approximation

Approximates kernels based on mutual information between features and targets. Uses histogram-based MI estimation with adaptive binning. MutualInformationKernel

Implementations

impl MutualInformationKernel

pub fn new(n_components: usize) -> Self

Create a new Mutual Information Kernel

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

Set number of bins for histogram estimation

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

Set bandwidth parameter

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

Set random state for reproducibility

Trait Implementations

impl Clone for MutualInformationKernel

fn clone(&self) -> MutualInformationKernel

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for MutualInformationKernel

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

Formats the value using the given formatter.

impl Fit<ArrayBase<OwnedRepr<f64>, Dim<[usize; 2]>>, ArrayBase<OwnedRepr<f64>, Dim<[usize; 1]>>> for MutualInformationKernel

type Fitted = FittedMutualInformationKernel

The fitted model type

fn fit(self, x: &Array2<f64>, y: &Array1<f64>) -> 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