Struct cuvsPcaParams 

#[repr(C)]
pub struct cuvsPcaParams {
    pub n_components: c_int,
    pub copy: bool,
    pub whiten: bool,
    pub algorithm: cuvsPcaSolver,
    pub tol: f32,
    pub n_iterations: c_int,
}

@brief Parameters for PCA decomposition.

Fields

n_components: c_int

Number of principal components to keep.

copy: bool

If false, data passed to fit are overwritten and running fit(X).transform(X) will not yield the expected results; use fit_transform(X) instead.

whiten: bool

When true the component vectors are multiplied by the square root of n_samples and then divided by the singular values to ensure uncorrelated outputs with unit component-wise variances.

algorithm: cuvsPcaSolver

Solver algorithm to use.

tol: f32

Tolerance for singular values (used by Jacobi solver).

n_iterations: c_int

Number of iterations for the power method (Jacobi solver).

Trait Implementations

impl Clone for cuvsPcaParams

fn clone(&self) -> cuvsPcaParams

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Copy for cuvsPcaParams

impl Debug for cuvsPcaParams

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

Formats the value using the given formatter.