Surrogate Models

Base

saealib.Surrogate	Base class for surrogate models.
saealib.SurrogatePrediction	Unified return type for surrogate model predictions.

Surrogate Managers

saealib.SurrogateManager	Abstract base class for surrogate managers.
saealib.GlobalSurrogateManager	Surrogate manager that fits once on the full archive.
saealib.LocalSurrogateManager	Surrogate manager that fits a local model per candidate (pre-selection).
saealib.CompositeSurrogateManager	Surrogate manager that combines scores from multiple sub-managers.
saealib.product_combine	Combine scores by element-wise product.
saealib.rank_weighted_combine	Return a combine function that rank-normalises then takes a weighted average.

RBF Surrogate

saealib.RBFsurrogate

Radial Basis Function (RBF) Interpolation surrogate model.

saealib.gaussian_kernel(x1, x2, sigma=2.0)

Gaussian radial basis function kernel.

Parameters:

• x1 (np.ndarray) – Input data 1.

• x2 (np.ndarray) – Input data 2.

• sigma (float) – Kernel width parameter.

Returns:

Matrix of kernel evaluations between x1 and x2. shape: (len(x1), len(x2))

Return type:

np.ndarray