Enum MetaLearningStrategy 

pub enum MetaLearningStrategy {
    SimilarityBased {
        similarity_metric: SimilarityMetric,
        k_neighbors: usize,
        weight_by_distance: bool,
    },
    ModelBased {
        surrogate_model: SurrogateModel,
        update_frequency: usize,
    },
    GradientBased {
        meta_learning_rate: Float,
        adaptation_steps: usize,
        inner_learning_rate: Float,
    },
    BayesianMeta {
        prior_strength: Float,
        hierarchical_levels: usize,
    },
    TransferLearning {
        transfer_method: TransferMethod,
        domain_adaptation: bool,
    },
    EnsembleMeta {
        strategies: Vec<MetaLearningStrategy>,
        combination_method: CombinationMethod,
    },
}

Meta-learning strategies for hyperparameter initialization

Variants

SimilarityBased

Similarity-based recommendation using dataset characteristics

Fields

similarity_metric: SimilarityMetric

k_neighbors: usize

weight_by_distance: bool

ModelBased

Model-based meta-learning using surrogate models

Fields

surrogate_model: SurrogateModel

update_frequency: usize

GradientBased

Gradient-based meta-learning (MAML-style)

Fields

meta_learning_rate: Float

adaptation_steps: usize

inner_learning_rate: Float

BayesianMeta

Bayesian meta-learning using hierarchical models

Fields

prior_strength: Float

hierarchical_levels: usize

TransferLearning

Transfer learning from similar tasks

Fields

transfer_method: TransferMethod

domain_adaptation: bool

EnsembleMeta

Ensemble of meta-learners

Fields

strategies: Vec<MetaLearningStrategy>

combination_method: CombinationMethod

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.