LowDiscrepancySequences

sklears_kernel_approximation::structured_random_features

Struct LowDiscrepancySequences

pub struct LowDiscrepancySequences;

Expand description

Low-discrepancy sequence generators for quasi-random features

Implementations§

impl LowDiscrepancySequences

pub fn van_der_corput(n: usize) -> Vec<Float> ⓘ

Generate Van der Corput sequence in base 2 This provides a 1D low-discrepancy sequence

pub fn halton(n: usize, dimensions: usize) -> Array2<Float>

Generate Halton sequence for multi-dimensional low-discrepancy Uses prime bases for each dimension

pub fn sobol(n: usize, dimensions: usize) -> Array2<Float>

Generate simplified Sobol sequence for higher dimensions This is a basic implementation focusing on the key properties

pub fn uniform_to_gaussian(uniform_sequence: &Array2<Float>) -> Array2<Float>

Transform uniform low-discrepancy sequence to Gaussian using inverse normal CDF Box-Muller-like transformation for quasi-random Gaussian variables

Auto Trait Implementations§

impl Freeze for LowDiscrepancySequences

impl RefUnwindSafe for LowDiscrepancySequences

impl Send for LowDiscrepancySequences

impl Sync for LowDiscrepancySequences

impl Unpin for LowDiscrepancySequences

impl UnwindSafe for LowDiscrepancySequences

Blanket Implementations§

impl<T> Any for T
where T: 'static + ?Sized,

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