Khalim Conn-Kowlessar ece1279475 revert slice 16g: drop mape objective per 16h ablation ... 250k retrain showed objective='mape' loses ~0.6 percentage points of global sap_score MAPE (3.92% with regression vs 4.50% with mape) and ~0.7 pts on peui_ucl. The mape objective over-weights the low-SAP tail (weight ~1/y) and drags the body MAPE up by more than it gains in the tail. Body MAPE on v16 features is already strong (2.38% on deciles 1-8); the remaining tail bias at decile 0 (SAP<58, +3.1 bias) needs a different fix -- sample weights or stratified loss -- queued as slice 16i.		2026-05-17 14:34:04 +00:00
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src/ml_training_data	revert slice 16g: drop mape objective per 16h ablation	2026-05-17 14:34:04 +00:00
tests	revert slice 16g: drop mape objective per 16h ablation	2026-05-17 14:34:04 +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