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41b5ce5057
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> |
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| .. | ||
| eon | ||
| analyse_api_sap_clusters.py | ||
| decompose_api_cost_error.py | ||
| download_cotality_evidence.py | ||
| elmhurst_input_sheet.py | ||
| eval_api_sap_accuracy.py | ||
| fetch_2026_epc_sample.py | ||
| fetch_cohort2_api_jsons.py | ||
| fetch_epc_bulk_sample.py | ||
| fetch_epc_dump.py | ||
| fetch_epc_prediction_corpus.py | ||
| historic_epc_demo.py | ||
| init_db.py | ||
| profile_api_error.py | ||
| rename_sharepoint_files.py | ||
| run_audit_generator_local.py | ||
| run_modelling_cohort.py | ||
| run_modelling_e2e.py | ||
| run_property_report.py | ||
| sero_address_list.csv | ||
| validate_epc_prediction.py | ||