Graham McIntire 10cbbf47b3 Train ML model on real QSO-HRRR data instead of algorithm scores ... Features: HRRR conditions averaged at both QSO endpoints + solar time Target: distance_km normalized per-band (distance / p99_range, capped at 1.0) This trains on actual propagation outcomes from 57K+ QSOs, not the hand-tuned algorithm output.		2026-04-01 09:13:05 -05:00
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tasks	Train ML model on real QSO-HRRR data instead of algorithm scores	2026-04-01 09:13:05 -05:00