Struct PCAConfig 

pub struct PCAConfig {
    pub n_components: Option<usize>,
    pub center: bool,
    pub solver: PcaSolver,
    pub random_state: Option<u64>,
    pub tolerance: f64,
    pub max_iterations: usize,
}

Configuration for Principal Component Analysis

Fields

n_components: Option<usize>

Number of components to keep

center: bool

Whether to center the data (subtract mean)

solver: PcaSolver

Solver algorithm for eigendecomposition

random_state: Option<u64>

Random state for reproducible results

tolerance: f64

Tolerance for convergence in iterative solvers

max_iterations: usize

Maximum number of iterations for iterative solvers

Implementations

impl PCAConfig

pub fn new(n_components: usize) -> Self

Create a new PCA configuration with specified number of components

pub fn with_solver(self, solver: PcaSolver) -> Self

Set the solver algorithm

pub fn with_center(self, center: bool) -> Self

Enable or disable data centering

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

Set random state for reproducible results

pub fn with_tolerance(self, tolerance: f64) -> Self

Set convergence tolerance

Trait Implementations

impl Clone for PCAConfig

fn clone(&self) -> PCAConfig

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for PCAConfig

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

Formats the value using the given formatter.

impl Default for PCAConfig

fn default() -> Self

Returns the “default value” for a type.