Enum EnhancedPCAAlgorithm 

pub enum EnhancedPCAAlgorithm {
    SVD,
    Eigen,
    Randomized {
        n_iter: usize,
        n_oversamples: usize,
    },
    Incremental {
        batchsize: usize,
    },
    Sparse {
        alpha: f64,
        max_iter: usize,
    },
    Robust {
        lambda: f64,
        max_iter: usize,
    },
}

PCA algorithms

Variants

SVD

Standard SVD-based PCA

Eigen

Eigen decomposition of covariance matrix

Randomized

Randomized PCA for large datasets

Fields

n_iter: usize

Number of power iterations

n_oversamples: usize

Oversampling parameter

Incremental

Incremental PCA for streaming data

Fields

batchsize: usize

Batch size

Sparse

Sparse PCA with L1 regularization

Fields

alpha: f64

Sparsity parameter

max_iter: usize

Maximum iterations

Robust

Robust PCA for outlier detection

Fields

lambda: f64

Regularization parameter for low-rank component

max_iter: usize

Maximum iterations

Trait Implementations

impl Clone for PCAAlgorithm

fn clone(&self) -> PCAAlgorithm

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for PCAAlgorithm

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

Formats the value using the given formatter.

impl PartialEq for PCAAlgorithm

fn eq(&self, other: &PCAAlgorithm) -> bool

Tests for self and other values to be equal, and is used by ==.

fn ne(&self, other: &Rhs) -> bool

Tests for !=. The default implementation is almost always sufficient, and should not be overridden without very good reason.

impl StructuralPartialEq for PCAAlgorithm