Struct KernelStructureLearner 

pub struct KernelStructureLearner {
    pub max_depth: usize,
    pub max_iterations: usize,
    pub expansion_probability: f64,
    pub simplification_probability: f64,
    pub improvement_threshold: f64,
    pub use_bic: bool,
    pub random_state: Option<u64>,
    pub search_strategy: SearchStrategy,
}

Grammar-based kernel structure learning

Fields

max_depth: usize

Maximum depth of kernel expressions

max_iterations: usize

Maximum number of iterations for structure search

expansion_probability: f64

Probability of adding new components

simplification_probability: f64

Probability of simplifying structures

improvement_threshold: f64

Minimum improvement threshold for accepting new structures

use_bic: bool

Whether to use Bayesian information criterion for model selection

random_state: Option<u64>

Random state for reproducible results

search_strategy: SearchStrategy

Search strategy

Implementations

impl KernelStructureLearner

pub fn new() -> Self

Create a new kernel structure learner

pub fn max_depth(self, depth: usize) -> Self

Set maximum depth of kernel expressions

pub fn max_iterations(self, iterations: usize) -> Self

Set maximum number of iterations

pub fn search_strategy(self, strategy: SearchStrategy) -> Self

Set search strategy

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

Set random state for reproducible results

pub fn learn_structure( &self, X: ArrayView2<'_, f64>, y: ArrayView1<'_, f64>, ) -> SklResult<StructureLearningResult>

Learn kernel structure from data

Trait Implementations

impl Clone for KernelStructureLearner

fn clone(&self) -> KernelStructureLearner

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for KernelStructureLearner

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

Formats the value using the given formatter.

impl Default for KernelStructureLearner

fn default() -> Self

Returns the “default value” for a type.