Model/services/ml_training_data
Khalim Conn-Kowlessar c496f345f8 slice 14l: bigger-run fixes — UCL guard, PV Measurement coercion, sMAPE
Three changes surfaced by the 25k 2026 run:
- transform._peui_ucl returns None for non-positive raw PEUI (net-exporters).
  apply_ucl_correction would otherwise raise ValueError on negative input.
- PhotovoltaicArray scalars (peak_power, pitch, orientation, overshading)
  now accept Measurement | int | float in the schema; mapper coerces via
  _measurement_value.
- train_baseline reports sMAPE alongside MAPE — handles zero-actual rows
  (e.g. co2_emissions for net-zero certs) where MAPE explodes.

Results at N=25,000 RdSAP 2026 certs (~32s end-to-end):
  sap_score          MAPE=0.064  sMAPE=0.054  R^2=0.762
  co2_emissions      sMAPE=0.140  R^2=0.890
  peui_raw           MAPE=0.126  sMAPE=0.120  R^2=0.714
  peui_ucl           MAPE=0.114  sMAPE=0.108  R^2=0.736
  space_heating_kwh  MAPE=0.167  sMAPE=0.157  R^2=0.915
  hot_water_kwh      MAPE=0.089  sMAPE=0.086  R^2=0.737

Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
2026-05-16 21:15:37 +00:00
..
src/ml_training_data slice 14l: bigger-run fixes — UCL guard, PV Measurement coercion, sMAPE 2026-05-16 21:15:37 +00:00
tests slice 14h: handle real bulk-JSON shape (NDJSON wrappers + document payload) 2026-05-16 19:45:52 +00:00
pyproject.toml slice 14g: remote_bulk_fetcher extracts ZIP entries via HTTP Range (no full download) 2026-05-16 19:16:52 +00:00