Enum MetaLearningStrategy 

pub enum MetaLearningStrategy {
    PerformanceBased {
        min_similar_tasks: usize,
        similarity_threshold: Float,
    },
    Portfolio {
        portfolio_size: usize,
    },
    BayesianOptimization {
        n_initial: usize,
        n_iterations: usize,
    },
    NeuralArchitectureSearch {
        search_space_size: usize,
        n_evaluations: usize,
    },
}

Strategy for meta-learning-based kernel selection

Variants

PerformanceBased

Use historical performance data to select kernel

Fields

min_similar_tasks: usize

Minimum number of similar tasks required

similarity_threshold: Float

Similarity threshold for task matching

Portfolio

Portfolio-based selection (try multiple kernels)

Fields

portfolio_size: usize

Number of top kernels to include

BayesianOptimization

Bayesian optimization for kernel selection

Fields

n_initial: usize

Number of initial random trials

n_iterations: usize

Number of optimization iterations

NeuralArchitectureSearch

Neural architecture search

Fields

search_space_size: usize

Search space size

n_evaluations: usize

Number of evaluations

Trait Implementations

impl Clone for MetaLearningStrategy

fn clone(&self) -> MetaLearningStrategy

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for MetaLearningStrategy

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

Formats the value using the given formatter.

impl Default for MetaLearningStrategy

fn default() -> Self

Returns the “default value” for a type.

impl<'de> Deserialize<'de> for MetaLearningStrategy

fn deserialize<__D>(__deserializer: __D) -> Result<Self, __D::Error>

where __D: Deserializer<'de>,

Deserialize this value from the given Serde deserializer.

impl Serialize for MetaLearningStrategy

fn serialize<__S>(&self, __serializer: __S) -> Result<__S::Ok, __S::Error>

where __S: Serializer,

Serialize this value into the given Serde serializer.