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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> |
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| .. | ||
| applications | ||
| datatypes | ||
| domain | ||
| fixtures/epc_prediction | ||
| harness | ||
| infrastructure | ||
| magic_plan | ||
| orchestration | ||
| repositories | ||
| utilities | ||
| __init__.py | ||
| conftest.py | ||
| test_lambda_packaging.py | ||