Struct AdditiveChi2Sampler 

pub struct AdditiveChi2Sampler {
    pub sample_steps: usize,
    pub sample_interval: Float,
}

Additive Chi-Squared Kernel Approximation

Approximates the additive chi-squared kernel: K(x,y) = Σᵢ (2xᵢyᵢ)/(xᵢ+yᵢ) Used with histogram data in computer vision. This is a stateless transformer.

Parameters

• sample_steps - Number of sampling points (default: 2)
• sample_interval - Sampling interval (auto-computed if None)

Examples

use sklears_kernel_approximation::AdditiveChi2Sampler;
use sklears_core::traits::Transform;
use scirs2_core::ndarray::array;

let X = array![[1.0, 2.0], [3.0, 4.0]];

let chi2 = AdditiveChi2Sampler::new(2);
let X_transformed = chi2.transform(&X).unwrap();
assert_eq!(X_transformed.shape(), &[2, 6]); // 2 features * 3 = 6

AdditiveChi2Sampler

Fields

sample_steps: usize

Number of sampling points

sample_interval: Float

Sampling interval

Implementations

impl AdditiveChi2Sampler

pub fn new(sample_steps: usize) -> Self

Create a new Additive Chi2 sampler

pub fn sample_interval(self, interval: Float) -> Self

Set the sample interval

Trait Implementations

impl Clone for AdditiveChi2Sampler

fn clone(&self) -> AdditiveChi2Sampler

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for AdditiveChi2Sampler

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

Formats the value using the given formatter.

impl Transform<ArrayBase<OwnedRepr<f64>, Dim<[usize; 2]>>> for AdditiveChi2Sampler

fn transform(&self, x: &Array2<Float>) -> Result<Array2<Float>>

Transform the input data