Model/tests/harness
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
..
__init__.py feat(modelling): sense-check table for a Plan in the DB-less harness 2026-06-04 08:06:53 +00:00
test_cohort.py feat(modelling): turnkey offline cohort script (tables + CSV) 2026-06-04 09:30:53 +00:00
test_console.py feat(modelling): wire secondary-heating-removal into the pipeline (ADR-0028) 2026-06-11 16:04:07 +00:00
test_epc_bulk.py feat(modelling): read the gov EPC bulk export via HTTP range requests 2026-06-04 12:16:18 +00:00
test_epc_prediction_corpus.py feat(epc-prediction): thread coordinates onto Comparable + target (#1227) 2026-06-15 14:46:01 +00:00
test_plan_table.py refactor(modelling): type measure_type fields as MeasureType 2026-06-08 20:13:31 +00:00
test_report.py feat(modelling): wire secondary-heating-removal into the pipeline (ADR-0028) 2026-06-11 16:04:07 +00:00