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KnnSurrogate

qualia_core_db::inference::lab::search

Struct KnnSurrogate 

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pub struct KnnSurrogate { /* private fields */ }
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A simple k-nearest-neighbor surrogate model for the objective function. Predicts the objective at a new point as the distance-weighted average of the k nearest observed points. This is a lightweight alternative to a full Random Forest (SMAC3) or Gaussian Process, suitable for small budgets.

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impl KnnSurrogate

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pub fn new(k: usize) -> Self

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pub fn add(&mut self, x: Vec<f64>, y: f64)

Add an observation.

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pub fn len(&self) -> usize

Number of observations.

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pub fn predict(&self, x: &[f64]) -> (f64, f64)

Predict the objective at a new point. Returns (mean, std) — the std is used for exploration in EI.

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