Model/services
Khalim Conn-Kowlessar fd8d71eb05 slice 15e: per-decile residuals reporting in train_baseline
Adds `_per_decile_residuals` and writes `residuals_<target>.json` next to
metrics.json. Buckets test-set rows by deciles of the true target value;
each bucket carries count + MAPE + MAE + mean residual + true_min/max.

Lets us tell whether errors concentrate in the tails of the true distribution
(e.g. SAP<40 / SAP>85) vs the mid-band — which the global MAPE alone hides.
Baseline for slice 16's MAPE-improvement ablations.
2026-05-17 11:18:40 +00:00
..
ara added potential file scaffolding: 2026-05-15 10:56:53 +00:00
ml_training_data slice 15e: per-decile residuals reporting in train_baseline 2026-05-17 11:18:40 +00:00
README.md added potential file scaffolding: 2026-05-15 10:56:53 +00:00

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).