Struct MetaLearner 

pub struct MetaLearner {
    pub strategy: MetaLearningStrategy,
    pub weights: Option<Array1<Float>>,
    pub intercept: Option<Float>,
    pub n_features: Option<usize>,
}

Meta-learner implementation that combines base estimator predictions

Fields

strategy: MetaLearningStrategy

The strategy used for meta-learning

weights: Option<Array1<Float>>

Learned weights (if applicable)

intercept: Option<Float>

Learned intercept (if applicable)

n_features: Option<usize>

Number of features expected during prediction

Implementations

impl MetaLearner

pub fn new(strategy: MetaLearningStrategy) -> Self

Create a new meta-learner with the specified strategy

pub fn fit( &mut self, meta_features: &Array2<Float>, targets: &Array1<Float>, ) -> Result<()>

Train the meta-learner on meta-features

pub fn predict(&self, meta_features: &Array2<Float>) -> Result<Array1<Float>>

Make predictions using the trained meta-learner

Trait Implementations

impl Clone for MetaLearner

fn clone(&self) -> MetaLearner

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for MetaLearner

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

Formats the value using the given formatter.