Struct AdvancedPCA 

pub struct AdvancedPCA { /* private fields */ }

✅ Advanced MODE: Fast PCA with memory pooling

Implementations

impl AdvancedPCA

pub fn new(_n_components: usize, _n_samples_hint: usize, hint: usize) -> Self

Create a new optimized PCA with memory pooling

pub fn fit(&mut self, x: &ArrayView2<'_, f64>) -> Result<()>

Fit the PCA model

pub fn fit_transform(&mut self, x: &ArrayView2<'_, f64>) -> Result<Array2<f64>>

Fit the PCA model and transform the data

pub fn components(&self) -> Option<&Array2<f64>>

Get the fitted components

pub fn mean(&self) -> Option<&Array1<f64>>

Get the fitted mean

pub fn explained_variance_ratio(&self) -> Result<Array1<f64>>

Get the explained variance ratio

pub fn fast_transform(&mut self, x: &ArrayView2<'_, f64>) -> Result<Array2<f64>>

✅ Advanced OPTIMIZATION: Fast transform with memory pooling

pub fn performance_stats(&self) -> &PoolStats

Get memory pool performance statistics

pub fn cleanup_cache(&mut self)

Clean up old cache entries

pub fn transform(&mut self, x: &ArrayView2<'_, f64>) -> Result<Array2<f64>>

Transform data using the fitted PCA model

pub fn qr_decomposition_optimized( &self, matrix: &Array2<f64>, ) -> Result<(Array2<f64>, Array2<f64>)>

QR decomposition optimized method

pub fn svd_small_matrix( &self, matrix: &Array2<f64>, ) -> Result<(Array2<f64>, Array1<f64>, Array2<f64>)>

SVD for small matrices