Khalim Conn-Kowlessar 51cdc25ce8 feat(epc-prediction): cohort-median floor-area estimate (#1223) ... Per-component method, not a global template change: the predicted floor area is now the cohort median (the MAD-minimising point estimate of the target's size) rather than whichever structural template's own area. The calculator derives heat loss from building-part geometry, not this scalar, so decoupling them is safe and the scalar becomes a better size estimate. floor_area mean|.|: corpus (150pc/514 targets) 10.62 -> 10.48; fixture 12.2175 -> 11.8983 (ceiling ratcheted down). No other component moves. Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>		2026-06-15 13:30:33 +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-median floor-area estimate (#1223)	2026-06-15 13:30:33 +00:00
prediction_comparison.py	feat(epc-prediction): ±1-band age scoring + window_count cosmetic (#1222)	2026-06-14 10:01:20 +00:00
validation.py	refactor(epc-prediction): extract shared leave-one-out scorer + corpus loader (ADR-0030)	2026-06-14 09:12:08 +00:00