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Adds services/ml_training_data/src/ml_training_data/sap_parity_probe.py — samples N certs from the v18a corpus, streams them via BulkZipReader, runs Sap10Calculator, prints MAE/RMSE/bias + worst-N residuals. Baseline across 100 certs: MAE 8.41, RMSE 13.98, bias -2.65, 0 errors. docs/sap-spec/PARITY_FINDINGS.md captures the dominant failure pattern (flats + bungalows under-predicted, 10 of the worst-15 are flats whose floor/roof are party with neighbouring dwellings) and the priority- ordered Session B iteration backlog (S-B-flat-surfaces first). Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com> |
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