Struct linfa_reduction::Pca

pub struct Pca<F> { /* fields omitted */ }

Implementations

impl Pca<f64>

pub fn params(size: usize) -> PrincipalComponentAnalysisParams

pub fn explained_variance(&self) -> Array1<f64>

Return the amount of explained variance per element

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

Return the normalized amount of explained variance per element

Trait Implementations

impl<F: Clone> Clone for Pca<F>

pub fn clone(&self) -> Pca<F>

Returns a copy of the value.

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

Performs copy-assignment from source.

impl<F: Debug> Debug for Pca<F>

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

Formats the value using the given formatter.

impl<F: Float, D: Data<Elem = F>> Predict<ArrayBase<D, Dim<[usize; 2]>>, ArrayBase<OwnedRepr<F>, Dim<[usize; 2]>>> for Pca<F>

pub fn predict(&self, x: ArrayBase<D, Ix2>) -> Array2<F>

Given a new data points project with fitted model