Struct KernelPCA 

pub struct KernelPCA { /* private fields */ }

Kernel PCA model.

Implementations

impl KernelPCA

pub fn fit<K: Kernel + ?Sized>( data: &[Vec<f64>], kernel: &K, config: KernelPCAConfig, ) -> Result<Self>

Fit Kernel PCA to the training data.

Arguments

• data - Training data as a vector of feature vectors
• kernel - The kernel function to use
• config - KPCA configuration

Returns

A fitted KernelPCA model

pub fn transform<K: Kernel + ?Sized>( &self, data: &[Vec<f64>], kernel: &K, ) -> Result<Vec<Vec<f64>>>

Transform data using the fitted KPCA model.

Arguments

• data - Data to transform (can be training or new data)
• kernel - The kernel function (must be same as used in fit)

Returns

Transformed data with n_components dimensions

pub fn transform_training<K: Kernel + ?Sized>( &self, kernel: &K, ) -> Result<Vec<Vec<f64>>>

Transform the training data (convenience method).

pub fn eigenvalues(&self) -> &[f64]

Get the eigenvalues.

pub fn explained_variance_ratio(&self) -> Vec<f64>

Get the explained variance ratio for each component.

pub fn cumulative_variance_explained(&self) -> Vec<f64>

Get the cumulative explained variance.

pub fn n_components(&self) -> usize

Get the number of components.

pub fn n_samples(&self) -> usize

Get the number of training samples.

Trait Implementations

impl Clone for KernelPCA

fn clone(&self) -> KernelPCA

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for KernelPCA

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

Formats the value using the given formatter.