Struct DistributedRBFSampler 

pub struct DistributedRBFSampler { /* private fields */ }

Distributed RBF kernel approximation using Random Fourier Features

Distributes the computation of random Fourier features across multiple workers, each processing a subset of the data or feature dimensions.

Implementations

impl DistributedRBFSampler

pub fn new(n_components: usize, gamma: f64) -> Self

Create a new distributed RBF sampler

pub fn with_config(self, config: DistributedConfig) -> Self

Set the distributed computing configuration

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

Set random state for reproducibility

pub fn fit(&mut self, x: &Array2<f64>) -> Result<()>

Fit the distributed RBF sampler

pub fn transform(&self, x: &Array2<f64>) -> Result<Array2<f64>>

Transform data using distributed computation

pub fn worker_stats(&self) -> Vec<(usize, usize, bool)>

Get worker statistics

pub fn total_memory_usage(&self) -> usize

Get total memory usage across all workers