Khalim Conn-Kowlessar 54a57363f8 feat(epc-prediction): cohort-mode the roof/floor/insulation/age categoricals (ADR-0029) ... Only main wall_construction was set to the cohort mode; the other homogeneous categoricals (wall insulation, construction age band, roof construction, floor construction) were left as template-copied, so one median-size template's quirks set them. Apply the same cohort-mode mechanism to all of them per ADR-0029 decision 4 — the template still supplies geometry, only the categorical codes move to the mode. Verified mode beats (or ties) template-copy per categorical before applying. Smoke corpus (29 leave-one-out) classification rates: construction_age_band 55.2% -> 65.5% roof_construction 72.4% -> 79.3% floor_construction 46.2% -> 84.6% wall_insulation_type 93.1% (tie — already template-strong) Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>		2026-06-14 00:31:16 +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	feat(epc-prediction): Comparable Properties selection ladder (ADR-0029)	2026-06-13 23:44:57 +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	feat(epc-prediction): classify roof/floor/insulation/age categoricals (ADR-0029)	2026-06-14 00:10:56 +00:00