cherab.inversion.regularization.criteria.Criterion¶

class cherab.inversion.regularization.criteria.CriterionSource¶

Bases: ABC

Abstract base class for regularization parameter selection criteria.

Concrete subclasses implement optimize() to find the optimal regularization parameter \(\lambda\) for a given _SVDBase solver.

Subclasses that support discrete solvers (e.g. TSVD) may also implement optimize_discrete().

Methods

optimize(solver, bounds[, stepsize])

Find the optimal regularization parameter.

abstract optimize(solver: _SVDBase, bounds: tuple[float, float], stepsize: float = 10, **kwargs: Any) → tuple[float, Any]Source¶

Find the optimal regularization parameter.

Parameters:

solver: _SVDBase¶

An _SVDBase instance providing filter, rho, etc.

bounds: tuple[float, float]¶

(log10_lower, log10_upper) search interval.

stepsize: float = 10¶

Step-size for the underlying global optimizer.

**kwargs: Any¶

Extra arguments forwarded to the optimizer.

Returns:

• lambda_opt (float) – Optimal regularization parameter.

• result – Optimizer result object (implementation-dependent).