SparseApproximationMethods

sklears_kernel_approximation::sparse_gp::approximations

Struct SparseApproximationMethods

pub struct SparseApproximationMethods;

Expand description

Sparse approximation method implementations

Implementations§

impl SparseApproximationMethods

pub fn fit_sor<K: SparseKernel>( x: &Array2<f64>, y: &Array1<f64>, inducing_points: &Array2<f64>, kernel: &K, noise_variance: f64, ) -> Result<(Array1<f64>, Array2<f64>)>

Fit Subset of Regressors (SoR) approximation

pub fn fit_fic<K: SparseKernel>( x: &Array2<f64>, y: &Array1<f64>, inducing_points: &Array2<f64>, kernel: &K, noise_variance: f64, ) -> Result<(Array1<f64>, Array2<f64>)>

Fit Fully Independent Conditional (FIC) approximation

pub fn fit_pic<K: SparseKernel>( x: &Array2<f64>, y: &Array1<f64>, inducing_points: &Array2<f64>, kernel: &K, noise_variance: f64, block_size: usize, ) -> Result<(Array1<f64>, Array2<f64>)>

Fit Partially Independent Conditional (PIC) approximation

Auto Trait Implementations§

impl Freeze for SparseApproximationMethods

impl RefUnwindSafe for SparseApproximationMethods

impl Send for SparseApproximationMethods

impl Sync for SparseApproximationMethods

impl Unpin for SparseApproximationMethods

impl UnwindSafe for SparseApproximationMethods

Blanket Implementations§

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