CADETProcess.parameter_space.SamplerBase

class CADETProcess.parameter_space.SamplerBase

Bases: ABC

Abstract sampler strategy.

Concrete subclasses implement _candidates; this base class handles postprocessing: significant-digits snap, integer rounding (via decode), categorical merge, dependency resolution, validation, and rejection of candidates that violate linear inequality constraints on the resolved values (constraints referencing dependent parameters cannot be part of the candidate polytope, and the snap and integer rounding perturb candidates after polytope enforcement).

sample(space: ParameterSpace, n: int, seed: int | None = None, include_dependent: bool = False) → list[dict[str, Any]]

Draw n feasible samples as named assignments.