Struct KernelOptimizer 

pub struct KernelOptimizer {
    pub max_iter: usize,
    pub learning_rate: f64,
    pub tol: f64,
    pub use_line_search: bool,
    pub n_restarts: usize,
    pub bounds: Option<Vec<(f64, f64)>>,
    pub random_state: Option<u64>,
}

Kernel parameter optimizer

Fields

max_iter: usize

Maximum number of optimization iterations

learning_rate: f64

Learning rate for gradient descent

tol: f64

Tolerance for convergence

use_line_search: bool

Whether to use line search

n_restarts: usize

Number of random restarts

bounds: Option<Vec<(f64, f64)>>

Bounds for parameters (optional)

random_state: Option<u64>

Random state for reproducible results

Implementations

impl KernelOptimizer

pub fn new() -> Self

Create a new kernel optimizer

pub fn max_iter(self, max_iter: usize) -> Self

Set maximum number of iterations

pub fn learning_rate(self, learning_rate: f64) -> Self

Set learning rate

pub fn tol(self, tol: f64) -> Self

Set convergence tolerance

pub fn use_line_search(self, use_line_search: bool) -> Self

Set whether to use line search

pub fn n_restarts(self, n_restarts: usize) -> Self

Set number of random restarts

pub fn bounds(self, bounds: Vec<(f64, f64)>) -> Self

Set parameter bounds

pub fn random_state(self, random_state: Option<u64>) -> Self

Set random state

pub fn optimize_kernel( &self, kernel: &mut Box<dyn Kernel>, X: ArrayView2<'_, f64>, y: ArrayView1<'_, f64>, ) -> SklResult<OptimizationResult>

Optimize kernel parameters

Trait Implementations

impl Clone for KernelOptimizer

fn clone(&self) -> KernelOptimizer

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for KernelOptimizer

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

Formats the value using the given formatter.

impl Default for KernelOptimizer

fn default() -> Self

Returns the “default value” for a type.