Enum PartitionStrategy 

pub enum PartitionStrategy {
    Random,
    Block,
    Stratified,
    Custom(fn(usize, usize) -> Vec<Vec<usize>>),
}

Distributed kernel approximation methods for large-scale datasets

This module provides distributed computation capabilities for kernel approximations, enabling processing of massive datasets that don’t fit in memory or require parallel processing across multiple workers. Partitioning strategy for distributing data across workers PartitionStrategy

Variants

Random

Randomly distribute samples across workers

Block

Block-wise distribution (contiguous chunks)

Stratified

Stratified sampling to maintain class distribution

Custom(fn(usize, usize) -> Vec<Vec<usize>>)

Custom partitioning function

Trait Implementations

impl Clone for PartitionStrategy

fn clone(&self) -> PartitionStrategy

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for PartitionStrategy

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

Formats the value using the given formatter.