calibrated_explanations.api.params¶
Parameter canonicalization utilities (ADR-002).
This module centralizes lightweight argument normalization and consistency checks, enabling downstream validators and plugins to rely on a stable parameter contract.
Notes
Alias mapping enables backward compatibility without behavior drift.
Combination validation enforces ADR-compliant constraints (e.g., conflicting parameter exclusivity).
Canonicalization only maps known aliases to canonical keys when the canonical key is not already provided.
See ADR-002 for context.
- calibrated_explanations.api.params.canonicalize_kwargs(kwargs: dict[str, Any]) dict[str, Any][source]¶
Return a copy of kwargs with known aliases mapped to canonical keys.
Notes
If an alias exists in
kwargsand the canonical key is absent, copy the value to the canonical key.If both alias and canonical are present, keep the canonical value and do not overwrite it.
Always preserve original keys; we do not delete aliases to avoid any chance of behavior drift. Callers should read canonical keys first.
Unknown keys are left untouched.
- calibrated_explanations.api.params.reject_removed_aliases(kwargs: dict[str, Any]) None[source]¶
Reject aliases removed in v0.11.0 with actionable migration guidance.
- calibrated_explanations.api.params.validate_param_combination(kwargs: dict[str, Any]) None[source]¶
Perform basic consistency checks for parameter combinations (ADR-002).
Enforces mutual exclusivity and conflict constraints. Raises
ConfigurationErrorwhen violations are detected.- Parameters:
kwargs (dict) – Keyword arguments to validate.
- Raises:
ConfigurationError – When conflicting parameter combinations are detected.