Trait MetaModel

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pub trait MetaModel {
    // Required methods
    fn fit(&mut self, records: &[MetaTrainingRecord]);
    fn is_fitted(&self) -> bool;
    fn predict(&self, features: &CorpusFeatures) -> PipelineConfig;
    fn name(&self) -> &str;
}

Expand description

Predicts a PipelineConfig from a CorpusFeatures profile.

Implementers fit on a training set of MetaTrainingRecords (pairs of (features, best_config) observed from past tuner runs) and predict a config for a new corpus.

Required Methods§

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fn fit(&mut self, records: &[MetaTrainingRecord])

Fit on a training set. Replacing any prior state.

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fn is_fitted(&self) -> bool

True once fit has been called with at least one usable record. Self::predict panics when this is false, so Result-returning boundaries (e.g. SphereQLPipeline::new_from_metamodel) check this first. No default impl on purpose: every model must answer for its own notion of “fitted” rather than inherit a guess.

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fn predict(&self, features: &CorpusFeatures) -> PipelineConfig

Predict the config that should work best on a corpus with the given profile. Panics if fit has not been called with at least one record — callers should treat MetaModel as a trained object and front-load fit, or check Self::is_fitted when the training state isn’t statically known.

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