Khalim Conn-Kowlessar 41b5ce5057 refactor(epc-prediction): name-keyed categorical_hits for Component Accuracy (ADR-0030) ... ADR-0030 commits Component Accuracy to ~19 categorical components (5 today + 8 heating + glazing/renewables). Flat *_correct dataclass fields don't scale — each needs manual runner wiring. Collapse them into a single `categorical_hits: dict[str, Optional[bool]]` keyed by component name, which also matches the runner's name-keyed aggregation (now generic: it tallies whatever components the comparison reports). No behaviour change; the classification rates are identical (wall n 578->575 is the 3 certs whose actual wall is None, now correctly counted as not-applicable via _classify). Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>		2026-06-14 08:50:34 +00:00
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__init__.py	feat(epc-prediction): Comparable Properties selection ladder (ADR-0029)	2026-06-13 23:44:57 +00:00
comparable_properties.py	fix(epc-prediction): dedupe re-lodgements + leak-free leave-one-out (ADR-0029)	2026-06-14 00:40:23 +00:00
epc_prediction.py	feat(epc-prediction): cohort-mode the roof/floor/insulation/age categoricals (ADR-0029)	2026-06-14 00:31:16 +00:00
prediction_comparison.py	refactor(epc-prediction): name-keyed categorical_hits for Component Accuracy (ADR-0030)	2026-06-14 08:50:34 +00:00