Two production fixes surfaced by the live run:
- mapper.from_rdsap_schema_21_0_1 now sets the three ML target scalars
(energy_rating_current, co2_emissions_current, energy_consumption_current).
They were silently None for every cert before, leaving the only labels as
the kWh fields from renewable_heat_incentive.
- train_baseline coerces object-dtype columns to numeric (None -> NaN) and
drops rows with null target per fit, so LightGBM accepts the frame.
E2E on 500 real certs (~1s):
sap_score R^2=0.604 MAPE=0.084
co2_emissions R^2=0.813 MAPE=0.130
peui_raw R^2=0.979 MAPE=0.026
space_heating_kwh R^2=0.823 MAPE=0.213
hot_water_kwh R^2=0.519 MAPE=0.115
peui_ucl excluded: UCL correction still needs wiring.
Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
Bulk entries are NDJSON of wrapper records, not a JSON array. Each wrapper
carries certificate_number, assessment_type, and a stringified document with
the actual EPC schema payload. Filter to RdSAP, unwrap document, then map.
remote_bulk_fetcher: per-entry presigned-URL refresh (30s S3 TTL).
Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
ijson use_float fixes Decimal/float coercion when streaming JSON.
pyright extraPaths so the new pkg type-checks against domna-domain.
Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
