Khalim Conn-Kowlessar fdc314c857 feat(epc-prediction): thread coordinates onto Comparable + target (#1227) ... Adds coordinates: Optional[Coordinates] to Comparable and PredictionTarget (data carriers — the pure predictor stays IO-free), and wires load_corpus to read an optional _coordinates.json sidecar ({uprn: [lon, lat]}) and populate each Comparable from its cert's uprn; iter_predictions threads the held-out target's coordinates through. Absent sidecar -> geo-weighting stays off (no behaviour change yet — weighting lands next slice). fetch_corpus_coordinates now writes the sidecar into the corpus dir. load_corpus populates 99% of corpus comparables. Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>		2026-06-15 14:46:01 +00:00
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__init__.py	feat(modelling): sense-check table for a Plan in the DB-less harness	2026-06-04 08:06:53 +00:00
cohort.py	feat(modelling): turnkey offline cohort script (tables + CSV)	2026-06-04 09:30:53 +00:00
console.py	17.1 and 18 done by claude	2026-06-12 12:52:36 +00:00
epc_bulk.py	feat(modelling): sample a year from the EPC bulk export, offline-ready	2026-06-04 12:20:57 +00:00
epc_prediction_corpus.py	feat(epc-prediction): thread coordinates onto Comparable + target (#1227)	2026-06-15 14:46:01 +00:00
plan_table.py	feat(modelling): wire Valuation Uplift onto the Plan	2026-06-04 08:59:04 +00:00
report.py	feat(modelling): wire secondary-heating-removal into the pipeline (ADR-0028)	2026-06-11 16:04:07 +00:00
sample_catalogue.json	feat(modelling): cost data for secondary-heating-removal (ADR-0028)	2026-06-11 13:51:16 +00:00