Struct FittedKernelPCA 

pub struct FittedKernelPCA<F> { /* private fields */ }

A fitted Kernel PCA model holding learned eigendecomposition.

Created by calling Fit::fit on a KernelPCA. Implements Transform<Array2<F>> to project new data.

Implementations

impl<F: Float + Send + Sync + 'static> FittedKernelPCA<F>

pub fn alphas(&self) -> &Array2<F>

Scaled eigenvectors (alphas), shape (n_samples, n_components).

pub fn eigenvalues(&self) -> &Array1<F>

Eigenvalues corresponding to each component.

Trait Implementations

impl<F: Clone> Clone for FittedKernelPCA<F>

fn clone(&self) -> FittedKernelPCA<F>

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl<F: Debug> Debug for FittedKernelPCA<F>

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

Formats the value using the given formatter.

impl<F: Float + Send + Sync + 'static> FittedPipelineTransformer<F> for FittedKernelPCA<F>

fn transform_pipeline(&self, x: &Array2<F>) -> Result<Array2<F>, FerroError>

Transform data using the pipeline interface.

Errors

Propagates errors from Transform::transform.

impl<F: Float + Send + Sync + 'static> Transform<ArrayBase<OwnedRepr<F>, Dim<[usize; 2]>>> for FittedKernelPCA<F>

fn transform(&self, x: &Array2<F>) -> Result<Array2<F>, FerroError>

Project new data onto the learned kernel principal components.

Computes the kernel between the new data and the training data, centres it appropriately, then projects using the learned eigenvectors.

Errors

Returns FerroError::ShapeMismatch if the number of features does not match the number seen during fitting.

type Output = ArrayBase<OwnedRepr<F>, Dim<[usize; 2]>>

The transformed output type.

type Error = FerroError

The error type returned by transform.