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> |
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| .. | ||
| ara | ||
| ml_training_data | ||
| README.md | ||
Services
Each subdirectory is a deployable unit — typically a Lambda image. Own pyproject.toml, own Dockerfile, own deps. Lambda bundle contains only that service's deps + its workspace deps.
| Service | Purpose |
|---|---|
ara/ |
The Domna retrofit modelling backend — ingestion + modelling pipelines, all 9 services in PRD §9.2. |
Other Domna services (address2uprn, hubspot, pashub, ecmk, magicplan) live in the legacy backend/ and etl/ trees for now; they are slated to migrate here as their owners pick them up — see PRD §11. When that work starts, scaffold the service under services/<name>/ and add it to the workspace members in the root pyproject.toml.
Service boundary
A service can import domain.*, import repos.*, import fetchers.*, import utils.* (workspace deps). It cannot import another service's modules — they are separate distributions with no cross-import path. This is the structural enforcement of the modelling/ingestion separation (ADR-0003).